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Home/ Questions/Q 7407
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samyakchy
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samyakchyEnlightened
Asked: August 6, 20222022-08-06T09:40:56+00:00 2022-08-06T09:40:56+00:00

Build an image classifier (ML Zero to Hero – Part 4) Merolearning.com

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Build an image classifier (ML Zero to Hero – Part 4) Merolearning.com

In part four of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses the build of an image classifier for rock, paper, and scissors. In episode one, we showed a scenario of rock, paper, and scissors; and discussed how difficult it might be to write code to detect and classify these. As the episodes have progressed into machine learning, we’ve learned how to build neural networks from detecting patterns in raw pixels, to classifying them, to detecting features using convolutions. In this episode, we have put all the information from the first three parts of the series into one.

Links:
Colab notebook →http://bit.ly/2lXXdw5
Rock, paper, scissors dataset → http://bit.ly/2kbV92O

This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.

Watch more Coding TensorFlow → http://bit.ly/2lytA4j
Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3

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  1. samyakchy Enlightened
    2019-09-18T18:06:44+00:00Added an answer on September 18, 2019 at 6:06 pm

    Great work Sir

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  2. samyakchy Enlightened
    2019-09-18T18:36:36+00:00Added an answer on September 18, 2019 at 6:36 pm

    Artificial intelligence, the "dream" of a billion…

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  3. samyakchy Enlightened
    2019-09-18T18:47:52+00:00Added an answer on September 18, 2019 at 6:47 pm

    Thanks

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  4. samyakchy Enlightened
    2019-09-18T18:55:11+00:00Added an answer on September 18, 2019 at 6:55 pm

    Please keep going that awesome uploads, so helpful for us !! thank you 🙂 !!

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  5. samyakchy Enlightened
    2019-09-18T19:24:11+00:00Added an answer on September 18, 2019 at 7:24 pm

    Thanks for spreading the knowledge 😊👍

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  6. samyakchy Enlightened
    2019-09-18T19:32:20+00:00Added an answer on September 18, 2019 at 7:32 pm

    Thanks for the short video. You might have covered this in the other videos (parts 1 through 3), but what guidelines can you provide for network architecture? In other words, I believe you used 4 conv2d layers in this example. Why 4 layers vs. 6 layers? Just looking to get better at this facet of modeling. Thanks again for the tips/tricks.

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  7. samyakchy Enlightened
    2019-09-18T19:52:24+00:00Added an answer on September 18, 2019 at 7:52 pm

    very nice. thank you 🙂

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  8. samyakchy Enlightened
    2019-09-18T19:58:53+00:00Added an answer on September 18, 2019 at 7:58 pm

    I am gonna implement this for the Augmented reality application. thank you.

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  9. samyakchy Enlightened
    2019-09-18T21:39:25+00:00Added an answer on September 18, 2019 at 9:39 pm

    Muito bom, bora testar!

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  10. samyakchy Enlightened
    2019-09-18T21:49:36+00:00Added an answer on September 18, 2019 at 9:49 pm

    Whats Next ?

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  11. samyakchy Enlightened
    2019-09-19T00:40:52+00:00Added an answer on September 19, 2019 at 12:40 am

    How do we find the problem required deep NN not 1 hidden NN?

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  12. samyakchy Enlightened
    2019-09-19T01:15:47+00:00Added an answer on September 19, 2019 at 1:15 am

    don't finish it.

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  13. samyakchy Enlightened
    2019-09-19T02:12:38+00:00Added an answer on September 19, 2019 at 2:12 am

    One query regarding the CNN codes, in the video we have first and second layers with 64 filters each.
    So when I pass an single image through the first layer, we get 64 outputs.
    Then do we pass those each of the 64 outputs to the 2nd layer having 64 filters and .

    So the total number of outputs from the second layer is 64×64 = 4096, means for once single image we found out 4096 features by the end of 2nd CNN layer ?
    Thanks for the visited Mr.lawrence.kindly help me to sort out this issue.

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  14. samyakchy Enlightened
    2019-09-19T05:21:24+00:00Added an answer on September 19, 2019 at 5:21 am

    please add more videos

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  15. samyakchy Enlightened
    2019-09-19T06:02:40+00:00Added an answer on September 19, 2019 at 6:02 am

    You guys are doing awesome work for the humanity, We love you. Keep making these kinds of videos.

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  16. samyakchy Enlightened
    2019-09-19T06:05:57+00:00Added an answer on September 19, 2019 at 6:05 am

    If there is any video or can you make any video on Neural network with full explanation of basics like convolution, Kernal, padding, strides, channels, max pooling…

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  17. samyakchy Enlightened
    2019-09-19T06:13:43+00:00Added an answer on September 19, 2019 at 6:13 am

    Thanks for this episode

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  18. samyakchy Enlightened
    2019-09-19T09:10:35+00:00Added an answer on September 19, 2019 at 9:10 am

    wow.

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  19. samyakchy Enlightened
    2019-09-19T10:27:29+00:00Added an answer on September 19, 2019 at 10:27 am

    Please make a video on implement ML model from script to deployment. Small discription is also enough.

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  20. samyakchy Enlightened
    2019-09-19T10:30:17+00:00Added an answer on September 19, 2019 at 10:30 am

    It's really helpful for us if you provide full deployment model of ML to production level. Laurence moroney thank you for this video 😄

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  21. samyakchy Enlightened
    2019-09-19T11:24:08+00:00Added an answer on September 19, 2019 at 11:24 am

    Thank you Laurence, wonderfully high-quality training. I have the perfect real-world problem for this in my business.

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  22. samyakchy Enlightened
    2019-09-19T12:49:36+00:00Added an answer on September 19, 2019 at 12:49 pm

    Is this possible on the raspberry pi 4B model?

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  23. samyakchy Enlightened
    2019-09-19T17:08:03+00:00Added an answer on September 19, 2019 at 5:08 pm

    Sir is it possible to train InceptionV3 with my classes and get output as my classes and previously trained classe together? if I have 5 classes and InceptionV3 has 100 classes then I want my output as 105 classes

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  24. samyakchy Enlightened
    2019-09-20T19:54:19+00:00Added an answer on September 20, 2019 at 7:54 pm

    Thank you. Where do I find the videos for Tensorflow 2.0.? Hope more videos to come, with advanced networks like GANs, Reinforcement learning or putting this image recognition model on a cellphone.

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  25. samyakchy Enlightened
    2019-09-21T08:27:34+00:00Added an answer on September 21, 2019 at 8:27 am

    Excellent series, really well presented, thank you for the tuition Laurence.

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  26. samyakchy Enlightened
    2019-09-23T12:15:12+00:00Added an answer on September 23, 2019 at 12:15 pm

    This is awesome! I hope to attend the upcoming O'Reilly Tensorflow World Conference and surround myself with great people! 😁👍

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  27. samyakchy Enlightened
    2019-09-23T17:52:01+00:00Added an answer on September 23, 2019 at 5:52 pm

    Great stuff! Though, I missed the final step which is to convert the trained algorithm into TF lite so we can use it in a mobile app 🙂

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  28. samyakchy Enlightened
    2019-09-24T08:38:19+00:00Added an answer on September 24, 2019 at 8:38 am

    How can I enclose what the model said in a rectangle? Thank you..

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  29. samyakchy Enlightened
    2019-09-26T06:13:00+00:00Added an answer on September 26, 2019 at 6:13 am

    Awesome explanation sir. I was struggling to start with DL, i got my path by these videos thanks a lot… And when can we expect NLP session in python.

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  30. samyakchy Enlightened
    2019-09-26T18:33:02+00:00Added an answer on September 26, 2019 at 6:33 pm

    Could you make a video on how to segment an image? That is, the environment is removed and only the outline of an animal or object remains. Thank you…

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  31. samyakchy Enlightened
    2019-09-27T12:59:44+00:00Added an answer on September 27, 2019 at 12:59 pm

    Nice series! But it only touches the surface of deep learning, I hope there are more more in depth tutorials later.

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  32. samyakchy Enlightened
    2019-09-30T08:42:34+00:00Added an answer on September 30, 2019 at 8:42 am

    Good introduction Laurence. Thanks

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  33. samyakchy Enlightened
    2019-10-04T11:56:09+00:00Added an answer on October 4, 2019 at 11:56 am

    It would be great if you keep posting those videos or even better create a series for more advanced. I loved those and learned a lot from the notebooks linked. Thank you!

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  34. samyakchy Enlightened
    2019-10-06T00:30:11+00:00Added an answer on October 6, 2019 at 12:30 am

    Life is so much better with simple explanations. Thank you.

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  35. samyakchy Enlightened
    2019-10-08T16:50:38+00:00Added an answer on October 8, 2019 at 4:50 pm

    Amazing Explanation !! Thank You so much Laurence Moroney!

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  36. samyakchy Enlightened
    2019-10-10T21:21:16+00:00Added an answer on October 10, 2019 at 9:21 pm

    great tutorials! i wish you'd do way more episodes, maybe perhaps in a longer format

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  37. samyakchy Enlightened
    2019-10-12T16:14:53+00:00Added an answer on October 12, 2019 at 4:14 pm

    Great tutorials! Quick Question: Can I do this with tensorflow 1.14

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  38. samyakchy Enlightened
    2019-10-26T21:10:09+00:00Added an answer on October 26, 2019 at 9:10 pm

    I want to take a specialization on tensorflow course on coursera, I have basic understanding of machine learning. Should I start with that course? or I should start with andrew ng's machine learning? please guide me.

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  39. samyakchy Enlightened
    2019-11-02T08:05:33+00:00Added an answer on November 2, 2019 at 8:05 am

    Looking forward to more tutorials Laurence !!!

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  40. samyakchy Enlightened
    2019-11-07T00:09:40+00:00Added an answer on November 7, 2019 at 12:09 am

    I have a question that is bugging for the past couple of weeks. How do I work with TFRecords data. I`m creating a dataset from within Earth Engine and exporting it as a TFRecord, images on a 256×256 format and I`m trying to create a classifier by feeding it to my neural net but I`m really confused on how to use the data that I exported on TFRecord format. If anyone can give me any explanation on how to use it, I`d appreciate it so much. Thx!

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  41. samyakchy Enlightened
    2019-11-12T09:08:52+00:00Added an answer on November 12, 2019 at 9:08 am

    The best tf2.0 course ever! Super great job. Thanks Laurence

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  42. samyakchy Enlightened
    2019-11-15T13:01:20+00:00Added an answer on November 15, 2019 at 1:01 pm

    I'm less than a week into Python after a year on JavaScript/Ember.js. Learned JS first because it was closest to HTML, CSS, etc. During that time I struggled mightily because I was always attempting to read technical papers about BERT, neural networks, etc. Became quite overwhelmed thinking I'd never be able to learn all the complex maths needed to perform the text analysis I've always dreamed of. Little did I know there were so many brilliant people who've already done the heavy lifting. I just need to learn how to call the libraries. Thank you for making these concepts so brilliantly accessible! I get it!!

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  43. samyakchy Enlightened
    2019-11-24T14:25:16+00:00Added an answer on November 24, 2019 at 2:25 pm

    Can I do this without tensorflow

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  44. samyakchy Enlightened
    2019-12-09T10:31:50+00:00Added an answer on December 9, 2019 at 10:31 am

    I don't see the image augmentation in Colab notebook →http://bit.ly/2lXXdw5, can anybody tell me, thanks

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  45. samyakchy Enlightened
    2019-12-11T09:06:20+00:00Added an answer on December 11, 2019 at 9:06 am

    i am not able to download those files by that code

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  46. samyakchy Enlightened
    2020-01-13T22:20:28+00:00Added an answer on January 13, 2020 at 10:20 pm

    This is really excellent. Thanks very much, Laurence.

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  47. samyakchy Enlightened
    2020-01-19T05:21:22+00:00Added an answer on January 19, 2020 at 5:21 am

    Thank you for this wonderful content but how do i learn more?????

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  48. samyakchy Enlightened
    2020-02-01T07:42:35+00:00Added an answer on February 1, 2020 at 7:42 am

    Nice sweet and small Playlist, here I have to know about that the does Tensorflow have any Shape classification dataset, not handwritten drawings but actual images like circles, triangles and so on…. or else help with how to create the custom dataset.

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  49. samyakchy Enlightened
    2020-02-16T21:03:28+00:00Added an answer on February 16, 2020 at 9:03 pm

    Sir, can you please make me understand the significance of the last element i.e. 3 in the input_shape tuple. You may suggest more videos or a notebook to understand those stuff in more detail.
    And thanks for the short series containing a huge amount of information.

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  50. samyakchy Enlightened
    2020-02-20T05:00:21+00:00Added an answer on February 20, 2020 at 5:00 am

    Hi Prof. Laurence, you are a professor the way you teach… requesting you to create a series on application of deep learning within NLP. An intensive one.. thank you so much sir for such easy to follow and understand videos you created. God bless you.

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  51. samyakchy Enlightened
    2020-02-29T16:18:07+00:00Added an answer on February 29, 2020 at 4:18 pm

    yes, good work … more tutorials , maybe training a neural network to generate art or music 🧠🤖

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  52. samyakchy Enlightened
    2020-03-03T18:00:00+00:00Added an answer on March 3, 2020 at 6:00 pm

    Hi, thanks a lot for this understanding of NN . Could you please guide me how to train a model for images of persons and recognize the faces and match them with the existing db. As also, if possible also detect the emotions of humans in videos. Would be very helpful to me please. Thanks a lot again!

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  53. samyakchy Enlightened
    2020-03-07T02:39:54+00:00Added an answer on March 7, 2020 at 2:39 am

    What if I don't want to use your dataset, how do I load my own?

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  54. samyakchy Enlightened
    2020-03-11T15:12:20+00:00Added an answer on March 11, 2020 at 3:12 pm

    Can anyone tell me where's the Jupyter Notebook of this video? Can't find it!

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  55. samyakchy Enlightened
    2020-03-12T21:37:59+00:00Added an answer on March 12, 2020 at 9:37 pm

    Thanks very much. You are a Rose.

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  56. samyakchy Enlightened
    2020-03-28T05:08:24+00:00Added an answer on March 28, 2020 at 5:08 am

    only 4 parts for ML? is this series a whole of ML?

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  57. samyakchy Enlightened
    2020-03-31T11:22:54+00:00Added an answer on March 31, 2020 at 11:22 am

    Hey Laurence, the code you provided has been training for over 4 hours now, and is still at epoch 1. Why is that?

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  58. samyakchy Enlightened
    2020-04-05T00:55:53+00:00Added an answer on April 5, 2020 at 12:55 am

    So are these updated for Anaconda python with pilow vs pil on python3?, these tutorials are super helpful to get going in this subject. Thanks for the series.

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  59. samyakchy Enlightened
    2020-04-06T16:19:40+00:00Added an answer on April 6, 2020 at 4:19 pm

    First, let me appreciate the intellect of the presenter. This is marvelous. second, I can't belief this topic, Machine Learning can be this simplified. My idea of Neural Network initially was a very complex subject that can't be understood. Now, I assimilated every bit of this. Thank you.

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  60. samyakchy Enlightened
    2020-04-16T16:26:16+00:00Added an answer on April 16, 2020 at 4:26 pm

    This was a wonderful series.It is just that i am trying to run this on my jupyter notebook, and i am using my personal dataset of hand gestures like right_click, palm, left_click. My directory looks like this
    Dataset–>right_click–>seq_01= images, and so on like this but when i run the exact code you mentioned. I get an error on the last line i.e history = model.fit_generator(train_generator). The error is as follows

    InvalidArgumentError: logits and labels must be broadcastable: logits_size=[32,3] labels_size=[32,2]

    [[node categorical_crossentropy/softmax_cross_entropy_with_logits (defined at <ipython-input-3-ab06a749855a>:1) ]] [Op:__inference_train_function_1195]

    Function call stack:

    train_function
    kindly help.

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  61. samyakchy Enlightened
    2020-04-25T12:23:20+00:00Added an answer on April 25, 2020 at 12:23 pm

    Ultimate solution to improve your CNN: gigantic training dateset

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  62. samyakchy Enlightened
    2020-04-26T14:26:19+00:00Added an answer on April 26, 2020 at 2:26 pm

    How to decide how many convolution layers to add and how many filters to place in each convolution layer?

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  63. samyakchy Enlightened
    2020-04-26T23:21:45+00:00Added an answer on April 26, 2020 at 11:21 pm

    inject this into my veins please

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  64. samyakchy Enlightened
    2020-05-02T07:50:50+00:00Added an answer on May 2, 2020 at 7:50 am

    When I tried to use model.predict(img, batch_size=10) in which I inputted my own image, it returned : IndexError: list index out of range. It would be great if someone could help me out.

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  65. samyakchy Enlightened
    2020-05-03T07:33:18+00:00Added an answer on May 3, 2020 at 7:33 am

    I cant't see the link.

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  66. samyakchy Enlightened
    2020-05-03T23:59:09+00:00Added an answer on May 3, 2020 at 11:59 pm

    Hey Laurance, I copied the code from the notebook to my own jupyter notebook, and there it takes about 5 minutes per epoch, wheras on the colab notebook it takes a couple of seconds. how can this be?

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  67. samyakchy Enlightened
    2020-05-04T13:46:31+00:00Added an answer on May 4, 2020 at 1:46 pm

    Thank you Laurence. I really enjoyed following along.

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  68. samyakchy Enlightened
    2020-05-06T16:58:46+00:00Added an answer on May 6, 2020 at 4:58 pm

    Where I will get demo code which converts text present in image into actual text ?

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  69. samyakchy Enlightened
    2020-05-11T18:00:50+00:00Added an answer on May 11, 2020 at 6:00 pm

    Thanks for sharing. I also wonder where the notebook is.

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  70. samyakchy Enlightened
    2020-05-18T03:05:38+00:00Added an answer on May 18, 2020 at 3:05 am

    This was a lot of fun and very informative. Note that the classifier does not work with images that do not come from this dataset. I took several cell phone pictures of scissors, several hands, and scaled to 150 x 150. They are all classified as paper – [[1. 0. 0.]]. Thanks for the videos and the notebooks.

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  71. samyakchy Enlightened
    2020-05-21T17:33:44+00:00Added an answer on May 21, 2020 at 5:33 pm

    I would like to see more lessons, please, thank you Laurence Moroney

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  72. samyakchy Enlightened
    2020-05-31T16:47:49+00:00Added an answer on May 31, 2020 at 4:47 pm

    Great lecture, thank you! for those who are looking the image augmentation code, it is done by the ImageDataGenerator class

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  73. samyakchy Enlightened
    2020-07-14T16:27:25+00:00Added an answer on July 14, 2020 at 4:27 pm

    Sir, please help me to build image classification codes to classify in single scene of video into image and different kind of activities in particular scene

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  74. samyakchy Enlightened
    2020-07-20T01:56:17+00:00Added an answer on July 20, 2020 at 1:56 am

    I’ve watched all 4 videos and i still have no clue how to do machine learning. Yes I understand the concepts more, but it shouldn’t be titled “zero to hero”

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  75. samyakchy Enlightened
    2020-07-28T08:44:42+00:00Added an answer on July 28, 2020 at 8:44 am

    Thank you so much! I really appreciate the effort you took to make this series 🙂

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  76. samyakchy Enlightened
    2020-08-03T13:31:40+00:00Added an answer on August 3, 2020 at 1:31 pm

    Thanks a lot for the series. You are a nice educator…

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  77. samyakchy Enlightened
    2020-08-06T10:48:25+00:00Added an answer on August 6, 2020 at 10:48 am

    Nooooooooooo…….!!!!!!!!!!!!!!!! WE WANT MORE TUTORIALS !!

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  78. samyakchy Enlightened
    2020-08-14T15:23:31+00:00Added an answer on August 14, 2020 at 3:23 pm

    Hi Laurence, Thanks for these wonderful videos. I had an observation Upon executing the code for exercise 8 for Fashion MNIST dataset, Observing the following error
    TypeError: '>' not supported between instances of 'NoneType' and 'float'

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  79. samyakchy Enlightened
    2020-10-23T03:57:35+00:00Added an answer on October 23, 2020 at 3:57 am

    I liked these tutorials! 😄

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  80. samyakchy Enlightened
    2020-11-12T09:01:20+00:00Added an answer on November 12, 2020 at 9:01 am

    Using CNN, are there ways to identify things in a picture that's in various shapes/resolutions?

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  81. samyakchy Enlightened
    2020-11-20T17:26:30+00:00Added an answer on November 20, 2020 at 5:26 pm

    Amazing 👍🏻 thx for making it clear, simple and SHORT👏🏻

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  82. samyakchy Enlightened
    2020-12-05T19:03:10+00:00Added an answer on December 5, 2020 at 7:03 pm

    thank you Laurence!

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  83. samyakchy Enlightened
    2020-12-12T13:34:51+00:00Added an answer on December 12, 2020 at 1:34 pm

    ML Zero to Hero of Tensorflow is super Laurence

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  84. samyakchy Enlightened
    2020-12-25T14:16:06+00:00Added an answer on December 25, 2020 at 2:16 pm

    Please put these tutorials in a playlist

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  85. samyakchy Enlightened
    2021-02-07T00:30:20+00:00Added an answer on February 7, 2021 at 12:30 am

    really great video! the content is so simplified and well-explained!

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  86. samyakchy Enlightened
    2021-03-08T14:34:26+00:00Added an answer on March 8, 2021 at 2:34 pm

    imagine the work and resources in trying to create a dataset. xD but its good to know we can make ai that can only see something 28×28. we are now in the era of 8bit AI

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  87. samyakchy Enlightened
    2021-03-10T13:52:40+00:00Added an answer on March 10, 2021 at 1:52 pm

    Explained superbly Laurence. Appreciate your efforts. Thanks.

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  88. samyakchy Enlightened
    2021-04-08T19:48:46+00:00Added an answer on April 8, 2021 at 7:48 pm

    Hi guys,
    I'm trying example notebook and I get this error

    uploaded = files.upload()

    Upload widget is only available when the cell has been executed in the current browser session. Please rerun this cell to enable.
    MessageError: TypeError: google.colab._files is undefined

    Some piece of advice?
    Thanks

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  89. samyakchy Enlightened
    2021-05-14T18:30:09+00:00Added an answer on May 14, 2021 at 6:30 pm

    i am trying with a different data set where train data has 27 images each in Train/bag, Train/bat, Train/bathtub while validation/test data has 9 images each in Test/bag, Test/bat, Test/bathtub. I am getting below error
    any suggestion what could be root cause of below error ->

    InvalidArgumentError: logits and labels must be broadcastable: logits_size=[81,3] labels_size=[81,4]

    [[node categorical_crossentropy/softmax_cross_entropy_with_logits (defined at <ipython-input-12-89ea0893532c>:61) ]] [Op:__inference_train_function_2287]

    Function call stack:

    train_function

    on below line of code->

    history = model.fit(train_generator, epochs=25, steps_per_epoch=20, validation_data = validation_generator, verbose = 1, validation_steps=3)

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  90. samyakchy Enlightened
    2021-05-15T05:48:33+00:00Added an answer on May 15, 2021 at 5:48 am

    What does Dropout do ?

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  91. samyakchy Enlightened
    2021-05-21T05:04:19+00:00Added an answer on May 21, 2021 at 5:04 am

    Thank you Sir

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  92. samyakchy Enlightened
    2021-06-08T22:44:53+00:00Added an answer on June 8, 2021 at 10:44 pm

    Laurence… A modern-day hero. Thank you !

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  93. samyakchy Enlightened
    2021-09-21T13:36:00+00:00Added an answer on September 21, 2021 at 1:36 pm

    Excellent series, very informative. Hope more series like this to come in future

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  94. samyakchy Enlightened
    2021-11-23T13:40:37+00:00Added an answer on November 23, 2021 at 1:40 pm

    How can I use my own dataset (images)? I mean from my local drive.

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  95. samyakchy Enlightened
    2022-01-03T14:01:27+00:00Added an answer on January 3, 2022 at 2:01 pm

    haven't ever seen a more amazing video !!

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  96. samyakchy Enlightened
    2022-01-08T19:04:23+00:00Added an answer on January 8, 2022 at 7:04 pm

    Mr. Narrator, you never explain the optimisers, why is that? Even the codelabs do the same. Nobody even says they will be covered later or links the documentation. Can we create our own optimizers? I need answers,… Everybody does, everybody should

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  97. samyakchy Enlightened
    2022-02-16T18:37:44+00:00Added an answer on February 16, 2022 at 6:37 pm

    Hi,

    I attached a link for detecting objects in images and real time video tutorial

    This tutorial is based on TensorFlow , Python and pre-trained models

    The link for the video : https://youtu.be/40_NC2Ahs_8

    I also shared the Python code in the video description .

    Enjoy

    Eran

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  98. samyakchy Enlightened
    2022-03-31T16:48:21+00:00Added an answer on March 31, 2022 at 4:48 pm

    Great video. Would be good to also have examples for e.g. having one additional file per image containing the labels in some arbitrary format and/ or having mixes of labels as categories and floats.

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  99. samyakchy Enlightened
    2022-04-06T17:08:29+00:00Added an answer on April 6, 2022 at 5:08 pm

    Thank you for your time and effort, I have learned because of you

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  100. samyakchy Enlightened
    2022-04-28T11:03:52+00:00Added an answer on April 28, 2022 at 11:03 am

    If I had to create an Object Detection device using ML, would I have to re-train the machine everytime I switch said machine on?

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