This is my convolution neural net:
def convolutional_neural_network(frame): wts = {\'conv1\': tf.random_normal([5, 5, 3, 32]), \'conv2\': tf.rand
Try
conv2 = tf.concat((conv2, controls_at_each_frame), axis=1).
conv2 = tf.concat((conv2, controls_at_each_frame), axis=1)
Note I'm putting the two frames that you want to concatenate within parentheses, as specified here.