Practical Deep Learning with PyTorch

Description

In this course, you will :

• Effectively wield PyTorch, a Python-first framework, to build your deep learning projects.
• Master deep learning concepts and implement them in PyTorch.

Syllabus :

• Software Requirements
• PyTorch Fundamentals: Matrices​​​​​​​
• PyTorch Fundamentals: Variables and Gradients​​​​​​​
• Linear Regression with PyTorch​​​​​​​
• Logistic Regression with PyTorch​​​​​​​
• Feedforward Neural Network with PyTorch​​​​​​​
• Convolutional Neural Network (CNN) with PyTorch​​​​​​​
• Recurrent Neural Networks (RNN)​​​​​​​
• Long Short-Term Memory Networks (LSTM)