Applied Deep Learning with PyTorch - Full Course

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

⭐️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


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