| Title | Link | |
|---|---|---|
| 1. | A Recipe for Training Neural Networks. | Article |
| 2. | Deep learning books | D2L.ai, Deep learning book , Neural network and deep learning, Deep learning wizard, A guide to convolutional neural networks for computer vision |
| 3. | Deep unsupervised learning. | Videos |
| 4. | A Neural Network in 13 lines of Python. | Article |
| 5. | Tensorflow tutorials | Github |
| 6. | Neural networks by 3 blue 1 brown(Mathematics of gradient descent and backprop). | Videos |
| 7. | Ten techniques learned from fast ai. | Article |
| 8. | Understanding AUC - ROC Curve. | Article |
| 9. | Adversarial Examples Aren’t Bugs, They’re Features. | Article |
| 10. | Training Very Deep Networks. | Paper |
| 11. | Andrej Karpathy blog. | Website |
| 12. | Incredible pytorch. | Github |
| 13. | Tensorboard with google colab | Article |
| 14. | Survey on deep learning with class imbalance. | Paper |
| 15. | Backpropogation algorithm | Article |
| 16. | The Mathematics of Machine Learning | Article |
| 17. | Deep elarning wizard | Book |
| Title | Link | |
|---|---|---|
| 1. | A guide to convolution arithmetic for deep learning. | Paper |
| 2. | One-shot object detection. | Article |
| 3. | A Brief Introduction To GANs. | Article |
| 4. | PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection. | Article |
| 5. | A list of papers and other resources on Generative Adversarial (Neural) Networks. | Github |
| 6. | Face recognition library. | Website |
| 7. | Cycle Gans and Pix2Pix. | Article |
| 8. | Object detection blogs and codes | 1. Article 2. Article 3. Article |
| 9. | Generating Diverse High-Fidelity Images with VQ-VAE-2 | Paper |
| 10. | Semantic segmentation over the years. | Article |
| 11. | Accident forecasting dataset and paper. | paper |
| 12. | A course on evolution of object detection algorithms. | youtube |
| 13. | Deep learning for computer vision(UMich, Justin Johnson) | videos |
| 14. | Tracking Objects as Points | paper |
| Title | Link | |
|---|---|---|
| 1. | Natural language processing course stanford(cs224d). | Video |
| 2. | Lisbon machine learning school. | video |
| Title | Link | |
|---|---|---|
| 1. | Deep learning drizzle. | Website |
| 2. | 8 Fun Machine Learning Projects for Beginners. | Article |
| 3. | 6 Deep Learning Applications a beginner can build in minutes. | Article |
| 4. | 24 Ultimate Data Science Projects To Boost Your Knowledge and Skills. | Article |
| 5. | The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3). | Article |
| 6. | Awesome - Most Cited Deep Learning Papers. | Github |
| 7. | Deep learning courses, papers, researchers etc list. | Github |
| 8. | Jeremy jackson deep learning resources. | Website |
| 9. | Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas. | Github |
| 10. | Deep Learning Papers Reading Roadmap. | Github |
| 11. | The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | Github |
| 12. | The Mathematics of Machine Learning | Article |
| Title | Link | |
|---|---|---|
| 1. | Deep learning for robotics pieter abbeel. | Video |
| 2. | Augmenting SLAM with deep learning | Article |
| 3. | Robotics Coursework | Github list |
| Title | Link | |
|---|---|---|
| 1. | Open Datasets | Skymind |
| 2. | Quora answer | Link |
| 3. | Medical Data | Github |
| Title | Link | |
|---|---|---|
| 1. | Calculus summary for deep learning | Article |
| Title | Link | |
|---|---|---|
| 1. | The Complete Reinforcement Learning Dictionary. | Article |
| 2. | Deep reinforcement learning course. | Articles |
| Title | Link | |
|---|---|---|
| 1. | An introduction to web scrapping in python. | Article |
| 2. | ROS | Website |
| 3. | How can i prepare for research oriented goal. | |
| 4. | Graphical user interface (GUI) for Google Compute Engine instance. | Article |