Building Deep Learning Applications
NTUT Deep Learning FB Group Playlist 112 Videos
Week  Topic  Learning Objectives  Slides  Code  Video 

Course Requirements 


Text Book  François Chollet, Deep Learning with Python, 2nd Edition, Manning, 2021  GitHub  
Reference  Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning, MIT Press, 2016  slides  
1  Past, Present, and Future of AI 




2  Introduction to Deep Learning 


3  Applied Math  Linear Algebra 


TensorFlow (Keras) 

IMDB_review financial_news house_pricing 

4  Applied Math  Probability 


Machine Learning Basics 

classifiers regressors  
5  Convolutional Neural Networks (CNNs) 


SOTA CV models 


6  Advanced Keras API 


Applied Math  Calculus & Optimization 


7  Object Detection 

Run YOLOv4  
Object Tracking 


Image Segmentation 


8  NLP & Word Embedding 


9  RNN & LSTM 


10  Attention & Transformer 


Modern NLP Models 


11  LangChain 

LangChain Cookbook 1  
12  Generative Deep Learning 


Generative Adversarial Networks (GANs) 


13  Stable Diffusion 


14  Deep Reinforcement Learning 


15  Deep Learning on Graphs 


16  Action Recognition & Pose Estimation 


17  Network Pruning and Quantization 
