Applied Deep Learning with PyTorch - Full Course

In this course you will learn the key concepts behind deep learning and how to apply the concepts to a real-life project using PyTorch and Python. You'll learn the following: ⌨️ RNNs and LSTMs ⌨️ Sequence Modeling ⌨️ PyTorch ⌨️ Building a Chatbot in PyTorch ⭐️Requirements ⭐️ ⌨️ Some Basic High School Mathematics ⌨️ Some Basic Programming Knowledge ⌨️ Some basic Knowledge about Neural Networks ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️Contents ⭐️ ⌨️ (0:00:08) Recurrent Nerual Networks - RNNs and LSTMs ⌨️ (0:35:54) Sequence-To-Sequence Models ⌨️ (0:44:31) Attention Mechanisms ⌨️ (0:57:17) Introduction to PyTorch ⌨️ (1:10:02) PyTorch Tensors ⌨️ (1:28:03) Chatbot: Processing the Dataset ⌨️ (2:48:12) Chatbot: Data Preperation ⌨️ (3:33:26) Chatbot: Building the Model ⌨️ (4:53:42) Chatbot: Training the Model 🔗PyTorch Chatbot tutorial: https://pytorch.org/tutorials/beginner/chatbot_tutorial.html Course developed by Fawaz Sammani. Check out more courses from him on Udemy: https://www.udemy.com/user/fawaz-sammani/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org