PyTorch: Deep Learning and Artificial Intelligence

PyTorch: Deep Learning and Artificial Intelligence new udemy course Artificial Intelligence (AI) continues to grow in popularity and disrupt a wide range of domains, but it is a complex and daunting topic. In this book, you'll get to grips with building deep learning apps, and how you can use PyTorch for research and solving real-world problems. What you'll learn Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) Predict Stock Returns Time Series Forecasting How to build a Deep Reinforcement Learning Stock Trading Bot GANs (Generative Adversarial Networks) Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Natural Language Processing (NLP) with Deep Learning Demonstrate Moore's Law using Code Transfer Learning to create state-of-the-art image classifiers Description Welcome to PyTorch: Deep Learning and Artificial Intelligence! Although Google's Deep Learning library Tensorflow has gained massive popularity over the past few years, PyTorch has been the library of choice for professionals and researchers around the globe for deep learning and artificial intelligence. Is it possible that Tensorflow is popular only because Google is popular and used effective marketing? Why did Tensorflow change so significantly between version 1 and version 2? Was there something deeply flawed with it, and are there still potential problems?