TensorFlow & Keras

Build neural networks with Google's deep learning framework

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 2 hr 10 min · Modules: 25

Modules

1. Introduction to TensorFlow and Keras (5 min)
2. Setting Up Your Environment (7 min)
3. Basic Neural Networks (7 min)
4. Convolutional Neural Networks (CNNs) (7 min)
5. Recurrent Neural Networks (RNNs) (7 min)
6. Advanced Neural Network Architectures (7 min)
7. Data Preprocessing and Augmentation (7 min)
8. Model Training and Evaluation (7 min)
9. Hyperparameter Tuning (7 min)
10. Transfer Learning (7 min)
11. Model Optimization Techniques (7 min)
12. Deploying Models (7 min)
13. Working with Text Data (7 min)
14. Working with Image Data (7 min)
15. Working with Time Series Data (7 min)
16. Generative Adversarial Networks (GANs) (7 min)
17. Autoencoders (7 min)
18. Reinforcement Learning Basics (7 min)
19. Capstone Project: Image Classification (10 min)
20. Capstone Project: Sentiment Analysis (10 min)
21. Capstone Project: Time Series Forecasting (10 min)
22. Model Interpretability (7 min)
23. Ethics in Machine Learning (7 min)
24. Final Project and Review (10 min)
25. Resources & References (7 min)

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