neural-network Archives

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

May 30, 2022
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math, Programming

IT Nursery

Why use softmax as opposed to standard normalization?

In the output layer of a neural network, it is typical to use the softmax function to approximate a probability distribution: This is ...

May 30, 2022
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Programming, Python

IT Nursery

How to initialize weights in PyTorch?

How do I initialize weights and biases of a network (via e.g. He or Xavier initialization)? 10 Answers 10

May 29, 2022
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Why do we need to call zero_grad() in PyTorch?

Why does zero_grad() need to be called during training? | zero_grad(self) | Sets gradients of all model parameters to zero. 5 Answers 5

May 22, 2022
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How to interpret loss and accuracy for a machine learning model [closed]

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question ...

May 21, 2022
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Extremely small or NaN values appear in training neural network

I’m trying to implement a neural network architecture in Haskell, and use it on MNIST. I’m using the hmatrix package for linear algebra. ...

May 14, 2022
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Keras input explanation: input_shape, units, batch_size, dim, etc

For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc ...

May 10, 2022
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What is the meaning of the word logits in TensorFlow? [duplicate]

This question already has answers here: What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits? (7 answers) Closed 1 year ago. ...

May 10, 2022
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