A repository to manage the progress in the course.
| Start | Complete |
|---|---|
| 2018 Jun 13 | 2018 Aug 5 |
The Deep Learning Nanodegree program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial, new, AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, and Network Deployment, and build projects in PyTorch and NumPy. You'll learn from authorities such Ian Goodfellow and Jun-Yan Zhu, inventors of types of generative adversarial networks, as well as AI experts, Sebastian Thrun and Andrew Trask. For anyone interested in this transformational technology, this program is an ideal point-of-entry.
- Intermediate Python
- Numpy
- Pandas
- Basic knowledge of probability, calculus, and linear algebra
| No. | Part | Project Name | Suggested Due Date | Done |
|---|---|---|---|---|
| 1 | Introduction to Deep Learning | - | - | - |
| 2 | Neural Networks | First Neural Network | Jun 26 | ✔️ |
| 3 | Convolutional Networks | Dog Breed Classifier | Jul 28 | ✔️ |
| 4 | Reccurent Networks | Generate TV Scripts | Aug 18 | ✔️ |
| 5 | Generative Adversarial Networks | Generate Faces | Sep 8 | ✔️ |
| 6 | Deep Reinforcement Learning | Teach a Quaccopter to Fly | Oct 6 | ✔️ |