Introduction to Dropout Layer Explained How It Works At Inference Time Quick Explained
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This video In this video, we dive into Overfitting is one of the main problems we face when building neural networks. Before jumping into trying out fixes for over or ...
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- After going through this video, you will know: Large weights in a neural network are a sign of a more complex network that has ...
- Dropout is an approach to regularization in neural networks which helps reduce interdependent learning amongst the neurons ...
- This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730.
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