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:

Course developed by Fawaz Sammani. Check out more courses from him on Udemy:

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