Tag: conv-neural-network

sorting out pictures in training data to train a cnn (alexnet)

conv-neural-network opencv python training-data

i’m training a alexnet with footage from playing an emulated nes game (f1 racer), to further on let it play the game by itself. now while i’m capturing the training data, the background of the game is changing heavily when it comes to gray pixel values (like light yellow to black for the same areas). is there a function (cv2

Ordering of batch normalization and dropout?

conv-neural-network neural-network python tensorflow

The original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general answer is also the correct answer for TensorFlow. When using batch normalization and dropout in TensorFlow (specifically using the contrib.layers) do I need to be worried about the ordering? It seems possible that if I use dropout followed immediately by