| Lesson | Title | Status |
|---|---|---|
| 01 | Welcome to Deep Learning | 2019-08-21 |
| 02 | Applying Deep Learning | Skip |
| 03 | Anaconda | 2019-08-22 |
| 04 | Jupyter Notebooks | 2019-08-22 |
| 05 | Matrix Math and NumPy Refresher | 2019-08-24 |
| Lesson | Title | Status |
|---|---|---|
| 01 | Introduction to Neural Networks | 2019-08-25 |
| 02 | Implementing Gradient Descent | Skip |
| 03 | Training Neural Networks | 2019-08-25 |
| 04 | Sentiment Analysis | 2019-09-02 |
| 05 | Keras | 2019-09-09 |
| 06 | TensorFlow |
| Lesson | Title | Status |
|---|---|---|
| 01 | Cloud Computer | |
| 02 | CNNs in TensorFlow | |
| 03 | Weight Initialization | |
| 04 | Convolutional Neural Networks | |
| 05 | Autoencoders | |
| 06 | Transfer Learning in TensorFlow | |
| 07 | Deep Learning for Cancer Detection | |
| 08 | CNN Project: Dog Breed Classifier |
| Lesson | Title | Status |
|---|---|---|
| 01 | Recurrent Neural Networks | |
| 02 | Long Short-Term Memory Networks | |
| 03 | Implementation of RNN and LSTM | |
| 04 | Hyperparameters | |
| 05 | Embeddings and Word2vec | |
| 06 | Sentiment Prediction RNN |
| Lesson | Title | Status |
|---|---|---|
| 01 | Generative Adversarial Networks | |
| 02 | Deep Convolutional GANs | |
| 03 | Semi-Supervised Learning |
| Lesson | Title | Status |
|---|---|---|
| 01 | Introduction to RL | |
| 02 | The RL Framework: The Problem | |
| 03 | The RL Framework: The Solution | |
| 04 | Dynamic Programming | |
| 05 | Monte Carlo Methods | |
| 06 | Temporal-Difference Methods | |
| 07 | Solve OpenAI Gym's Taxi-v2 Task | |
| 08 | RL in Continuous Spaces | |
| 09 | Deep Q-Learning | |
| 10 | Policy-Based Methods | |
| 11 | Actor-Critic Methods | |
| 12 | Teach a Quadcopter How to Fly |