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Using Activation Functions in Deep Learning Models - MachineLearningMastery.com
Feature request: export function via code-generator for Keras, pytorch, TF, and mxnet · Issue #6 · m4nuC/aifiddle-issues · GitHub
Mastering PyTorch Loss Functions: The Complete How-To
torch.nn — PyTorch master documentation
Activation Functions in Pytorch - GeeksforGeeks
Detailed explanation on nn creation - PyTorch Forums
A Practical Guide to ReLU. Start using and understanding ReLU… | by Danqing Liu | Medium
Weight Initialization and Activation Functions - Deep Learning Wizard
Neural Networks — PyTorch Tutorials 2.2.1+cu121 documentation
BatchNorm2d: How to use the BatchNorm2d Module in PyTorch
How to Subclass The nn.Module Class in PyTorch
PyTorch For Deep Learning — nn.Linear and nn.ReLU Explained | by Ashwin Prasad | Medium
Chapter 5: Introduction to Convolutional Neural Networks — Deep Learning with PyTorch
Weight Initialization and Activation Functions - Deep Learning Wizard
PyTorch ReLU | What is PyTorch ReLU? | How to use PyTorch ReLU?
torch.nn — PyTorch master documentation
PyTorch Leaky ReLU - Useful Tutorial - Python Guides
Deep Learning with PyTorch Cheat Sheet | DataCamp
Transfer Functions - nn
Caffe2 - Python API: torch.nn.modules.activation.ReLU Class Reference
Losses Learned
PyTorch For Deep Learning — nn.Linear and nn.ReLU Explained | by Ashwin Prasad | Medium
Deep Learning – Activation Functions
파이토치로 시작하는 딥러닝 기초] 2.3 ReLU
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