MACHINE LEARNING

Detailed explanation-1: -PyTorch is a fully featured framework for building deep learning models, which is a type of machine learning that’s commonly used in applications like image recognition and language processing. Written in Python, it’s relatively easy for most machine learning developers to learn and use.

Detailed explanation-2: -The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities.

Detailed explanation-3: -Convolutional Neural Networks (CNNs) Long Short Term Memory Networks (LSTMs) Recurrent Neural Networks (RNNs) Generative Adversarial Networks (GANs) Radial Basis Function Networks (RBFNs) Multilayer Perceptrons (MLPs) Self Organizing Maps (SOMs) More items •16-Feb-2023