The original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general answer is
We can pass the training = False argument while calling the pre-trained model when using Keras Functional API as shown in this tutorial. How to implement the sa
I am working on a reinforcement algorithm, I am very new to this and trying to get a hold of things. Player1Env looks upon a 7x6 Connect4 playing grid. I am ini
I am reading through Residual learning, and I have a question. What is "linear projection" mentioned in 3.2? Looks pretty simple once got this
In a typical Shapley value estimation for a numerical regression task, there is a clear way in which the marginal contribution of an input feature i to the fina
I am using Orange Datamining to train a model on the Iris data set. I used the stochastic gradient descent node to do the training and I am looking to extract t
As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle
I have a problem where I am trying to create a neural network for Tic-Tac-Toe. However, for some reason, training the neural network causes it
I am currently creating a network in keras to perform harmonic/percussive source separation on an audio spectrogram using a median filtering technique (http://d