ValueError: TensorFlow2 Input 0 is incompatible with layer model

• CNN_Classifications

  12 6 6.4 Jupyter Notebook

  Convolutional Neural Networks for image recognition and classification

I am trying to code a ResNet CNN architecture based on the paper by using Python3, TensorFlow2 and CIFAR-10 dataset. You can access the Jupyter notebook here.

• Lottery_Ticket_Hypothesis-TensorFlow_2

  6 33 4.1 Jupyter Notebook

  Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"

True, removing he_normal initialization does increase the accuracy. For most of my previous experiments I have usually used the kernel initialization as mentioned in the different author's paper(s). Therefore for ResNet, I thought of using Kaiming He initialization as he is the author of the research paper. However, the default kernel initialization in TF2 is 'glorot_uniform' which leads to 60.04% val_accuracy.

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