How to initialize weights in PyTorch?

Single layer To initialize the weights of a single layer, use a function from torch.nn.init. For instance: Alternatively, you can modify the parameters by writing to (which is a torch.Tensor). Example: The same applies for biases: nn.Sequential or custom nn.Module Pass an initialization function to torch.nn.Module.apply. It will initialize the weights in the entire … Read more

What’s the difference between scikit-learn and tensorflow? Is it possible to use them together?

Your understanding is pretty much spot on, albeit very, very basic. TensorFlow is more of a low-level library. Basically, we can think of TensorFlow as the Lego bricks (similar to NumPy and SciPy) that we can use to implement machine learning algorithms whereas Scikit-Learn comes with off-the-shelf algorithms, e.g., algorithms for classification such as SVMs, … Read more