Custom Layer in TensorFlow using Keras API | Custom Dense Layer in TensorFlow Keras | Deep Learning

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Комментарии
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Thank you so much dear brother. Just now I understand how things are going on during layer building.
Please, i am trying to build a custom layer to convert a KerasTensor to numpy to do some computations and then convert numpy back to KerasTensor to send it to the next layer. However as you mentioned in the video ""not to use any other functions outside tensorflow echo system"", in this case, numpy() will not work in the custom layer which is used to convert tensor to numpy.

Please, what is the alternative to achieve that ? it would be very kind of you to answer my question as i am really stuck in this problem.
Thanks

alikasim
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Hie, am getting this error [ unsupported operand type(s) for +=: 'Dense' and 'str'] on the model.fit(x_train, y_train, epochs=5, batch_size=32), how can i debug this?

agnessphazi
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Good video help. It would be great help If you let me know how we can have a custom recurrent layer...

hemantnyadav
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what is the meaning of inputshape=[-1] here in this code?

aditiarora
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Hello Nikhil. Excellent video. If I want to perform any transformation instead of convolution process in CNN then how to create a custom layer. Can you please create any video for transformation. For example Discrete Cosine Transform of Image.

sandeepladi
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