PyTorch Recipes

Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics.-

Chapter 2: Probability distributions using PyTorch.-

Chapter 3: Convolutional Neural Network and RNN using PyTorch.-

Chapter 4: Introduction to Neural Networks, Tensor Differentiation .-

Chapter 5: Supervised Learning using PyTorch.-

Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch.- Chapter 7: NLP and Text Processing using PyTorch.- 

Pradeepta Mishra is a data scientist and artificial intelligence researcher by profession, currently head of NLP, ML, and AI at Lymbyc, has expertise in designing artificial intelligence systems for performing tasks such as understanding natural language and giving recommendations based on natural language processing. He has filed two patents as an inventor, has written two books: R Data Mining Blueprints and R: Mining Spatial, Text, Web, and Social Media Data. There are two courses available on Udemy from his books. He has delivered a talk at the Global Data Science conference 2018, at Santa Clara, CA, USA on applications of bi-directional LSTM for time series forecasting. One of his books has been a recommended text at the HSLS Center, University of Pittsburgh, PA, USA. He has delivered a TEDx talk on 'Can Machines Think?', a session on the power of artificial intelligence in transforming different industries and changing job roles across industries. He has delivered 50+ tech talks on data science, machine learning, and artificial intelligence in various meet-ups, technical institutions, universities, and community arranged forums.