Pytorch

S - While leveraging power of NVIDIA GPUs for DL, need a high-level interface T - Built on CUDA, python framework Interface Type Contributor Intro Used in PyTorch DL framework Meta dynamic computing graph, easy to debug research TensorFlow DL framework Google support deployment Production Keras Highlevel API Independent first, then merged into TF easy to use for prototyping, default run on TF Education R Ultimately call highly optimized CUDA routines abstracts away the complexity of direct CUDA programming, allowing you to write intuitive Python code Close look into PyTorch Core components ...

Problem statement FashionMNIST Problem Statement Classify grayscale images of fashion items (e.g., shirts, shoes, bags) into one of 10 categories. Like MNIST, each image is 28×28 pixels, but the content is clothing-related instead of digits. MNIST Problem Statement Classify grayscale images of handwritten digits (0–9) into their correct numeric labels. Each image is 28×28 pixels, and the task is a 10-class classification problem. The mainstream PyTorch will solve FashionMNIST probelm. The minor stream of TensorFlow will demostarte how to solve MNIST problem. ...