deep learning

Comparing Numpy, Pytorch, and autograd on CPU and GPU

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Code for fitting a polynomial to a simple data set is discussed. Implementations in numpy, pytorch, and autograd on CPU and GPU are compred. This post is available for downloading as this jupyter notebook. Table of Contents Very Brief Introduction to Autograd Using Numpy to Fit a Polynomial to Data Now, with Pytorch Pytorch with … Read more

Numpy versus Pytorch

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Here we compare the accuracy and computation time of the training of simple fully-connected neural networks using numpy and pytorch implementations and applied to the MNIST data set. The Adam optimization algorithm in numpy and pytorch are compared, as well as the Scaled Conjugate Gradient optimization algorithm in numpy. The original notebook is available here. … Read more