Building Deep Learning Applications
  NTUT Deep Learning FB Group Playlist 112 Videos
Week | Topic | Learning Objectives | Slides | Code | Video |
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Course Requirements |
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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 |
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2 | Introduction to Deep Learning |
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3 | Applied Math - Linear Algebra |
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TensorFlow (Keras) |
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IMDB_review financial_news house_pricing |
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4 | Applied Math - Probability |
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Machine Learning Basics |
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classifiers regressors | |||
5 | Convolutional Neural Networks (CNNs) |
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SOTA CV models |
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6 | Advanced Keras API |
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Applied Math - Calculus & Optimization |
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7 | Object Detection |
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Run YOLOv4 | ||
Object Tracking |
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Image Segmentation |
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8 | NLP & Word Embedding |
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9 | RNN & LSTM |
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10 | Attention & Transformer |
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Modern NLP Models |
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Hugging Face NLP Tutorial | |||||
11 | Generative Deep Learning |
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Generative Adversarial Networks (GANs) |
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Stable Diffusion |
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12 | Deep Reinforcement Learning |
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13 | Deep Learning on Graphs |
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Final Project Demo | |||||
14 | Action Recognition & Pose Estimation |
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15 | Network Pruning and Quantization |
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