An Introduction to PyTorch versus TensorFlow for Deep Learning

PyTorch and TensorFlow are the most popular frameworks in the deep learning community, providing customizable boilerplates for coding neural network architectures and optimizing computations with GPU resources. Without these frameworks, deep learning models had to be coded from scratch using Numpy, which is more cumbersome and slower without GPU optimization. Familiarity with these frameworks enhances the development of neural networks significantly.