Youtor
Simplifying Neural Network Code in PyTorch and why it matters
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=s6u0KAGFqzg
When building neural networks in PyTorch, you may write code that explicitly defines each layer and specifies how the data flows between them in the forward method. While this approach provides flexibility, there's a more concise way to achieve the same results using nn.Sequential. Let me walk you through an example of transforming a traditional class-based neural network model to one that uses nn.Sequential for simplicity. • • The video describes how and when to use *nn.Sequential*. • • The code is available in the following GitHub repository: • https://github.com/mshossain/NN_Intro • The code filename is NN_with-Sequential.ipynb. The data file Pecan.txt is available in the same folder. • Dr. Shahriar Hossain • https://computing4all.com
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