I have being trying to fit the error during my Tensorflow course (Section 3: Neural network Regression with Tensorflow) with Udemy. import tensorflow as tf impo
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