Args to Conv3D were given in incorrect format.

[Shankar203]

keras-resnet/keras_resnet/models/_3d.py

Line 77 in 898a1ee

x = keras.layers.Conv3D(64, (7, 7), strides=(2, 2), use_bias=False, name="conv1")(x)

keras-resnet/keras_resnet/models/_3d.py

Line 80 in 898a1ee

x = keras.layers.MaxPooling3D((3, 3), strides=(2, 2), padding="same", name="pool1")(x)

Kernel_size of a Conv3D can be a single integer or a tuple of 3 integers!

And similarly with the strides too.

[adavaria]

That's true; please fix this!