Lecture 1 introduction
Lecture 2 Image Classification Pipeline
Lecture 3 Loss Functions and Optimization
Lecture 4 Introduction to Neural Network
Lecture 5 Convolutional Neural Networks
Lecture 6 Training Neural Networks
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 Model
Lecture 14 Deep Reinforcement Learning
Lecture 15 Efficient Methods and Hardware
for Deep Learning
Lecture 16 Adversarial Examples and
adversaial Training
The above materials are provided by http://cs231n.stanford.edu/
This blog post only organized for easier personal learning purpose.
Book:
Deep Learning By Ian Goodfellow and Yoshua Bengio and Aaron Courville
http://www.deeplearningbook.org/
Book:
Deep Learning By Ian Goodfellow and Yoshua Bengio and Aaron Courville
http://www.deeplearningbook.org/
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