Category "neural-network"

ran into TensorFlow ValueError during my TensorFlow Course with Udemy

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

Ordering of batch normalization and dropout?

The original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general answer is

training = False in Keras Sequential API

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

Error while defining observation space in gym custom environment

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

What is "linear projection" in convolutional neural network [closed]

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

How are SHAP's feature contributions calculated for models with word embeddings as output?

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

Extract weights and biases from Orange Data Mining

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

Are modern CNN (convolutional neural network) as DetectNet rotate invariant?

As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle

Neural Network Always Produces Same/Similar Outputs for Any Input [closed]

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

Create custom convolution layer and compare two keras layers

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