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⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

License: Apache License 2.0

Python 100.00%
tensorflow machine-learning deep-learning resnet googlenet vgg inception-v3 inception-v4 mobilenet mobilenet-v2

convnets-tensorflow2's Issues

TypeError: 'NoneType' object is not callable

Traceback (most recent call last):
File "/home//tensor2-convNets/venv/include/main.py", line 74, in
train_step(images, labels)
File "/home/
/tensor2-convNets/venv/include/main.py", line 54, in train_step
predictions = model(images, training=True)
TypeError: 'NoneType' object is not callable

Why the loss of mobilenet no longer drops around 2.3

Epoch: [1/100], Loss: 2.32971787453, Accuracy: 10.1759996414, Test Loss: 2.30850172043, Test Accuracy: 10.0
Epoch: [2/100], Loss: 2.3074965477, Accuracy: 10.0780000687, Test Loss: 2.30438804626, Test Accuracy: 10.0
Epoch: [3/100], Loss: 2.30412840843, Accuracy: 10.1899995804, Test Loss: 2.30372524261, Test Accuracy: 10.0
Epoch: [4/100], Loss: 2.30375742912, Accuracy: 10.0920000076, Test Loss: 2.30361151695, Test Accuracy: 10.0

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