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.

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

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