Lecture 1Introduction to Convolutional Neural Networks for Visual Recognition

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Lecture 1: Introduction to Convolutional Neural Networks for Visual Recognition

Introduction to Convolutional Neural Networks for Visual Recognition

Lecture 2: Image Classification

Lecture 3: Loss Functions and Optimization

Lecture 4: Introduction to Neural Networks

Lecture 5: Convolutional Neural Networks

Lecture 6: Training Neural Networks I

Lecture 7: Training Neural Networks II

Lecture 8: Deep Learning Software

Lecture 9: CNN Architectures

Lecture 10: Recurrent Neural Networks

Lecture 11: Detection and Segmentation

Lecture 12: Visualizing and Understanding

Lecture 13: Generative Models

Lecture 14: Deep Reinforcement Learning

Lecture 15: Efficient Methods and Hardware for Deep Learning

Lecture 16: Adversarial Examples and Adversarial Training