What will be the input_shape of tf.keras.layers.Conv3D be for these inputs I have many videos, and each video is made up of 37 images (there are 37 frames in the whole video). And the dimension of each image is (100, 100, 3).... So the shape of my dataset is [num_of_videos, 37, 100, 100, 3]
If I want to pass these videos thorugh the tf.keras.layers.Conv3D()... what will be the input shape for the conv3D be:
Conv3D(32, 3, padding='same', activation='relu', input_shape=[What will the input shape here be])
From Keras document,

Input shape
5+D tensor with shape: batch_shape + (channels, conv_dim1, conv_dim2, conv_dim3) if data_format='channels_first' or 5+D tensor with shape: batch_shape + (conv_dim1, conv_dim2, conv_dim3, channels) if data_format='channels_last'

Assuming data_format='channels_last' and num_of_videos may be used to decide batch_size(which is not required while defing input_shape),
input_shape=[ 100, 100, 37, 3 ]