Make 20 Advanced Level Applications in Python

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

Created by: Fawaz Sammani
Computer Vision Researcher

What Will I Learn?

• Understand How Neural Networks Work (Theory and Applications)
• Understand How Convolutional Networks Work (Theory and Applications)
• Understand How Recurrent Networks and LSTMs work (Theory and Applications)
• Learn how to use PyTorch in depth
• Understand how the Backpropagation algorithm works
• Understand Loss Functions in Neural Networks
• Understand Weight Initialization and Regularization Techniques
• Code-up a Neural Network from Scratch using Numpy
• Apply Transfer Learning to CNNs
• CNN Visualization
• Learn the CNN Architectures that are widely used nowadays
• Understand Residual Networks in Depth
• Understand YOLO Object Detection in Depth
• Visualize the Learning Process of Neural Networks
• Learn how to Save and Load trained models
• Learn Sequence Modeling with Attention Mechanisms
• Build a Chatbot with Attention
• Transformers
• Build a Chatbot with Transformers
• BERT
• Build an Image Captioning Model

Requirements

• Some Basic Python Expreience is preferable
• Some High School Mathematics

Target audience

• Anyone who in interested in learning about Neural Networks and Deep Learning