Why Deep Learning
If you want to break into AI, Deep Learning is one of the most highly sought after skills to give you a deep dive here. The foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects is a must and sought after skills. Also Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more is a deep learning toolbox. AI is transforming multiple industries. These are essentials to understand how to apply it, and build a career in AI.
Curated Resources
| Title | Domain | Link |
|---|---|---|
| Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) | GAN | link |
| Transfer Learning for Classification in Ultra-small Biomedical Datasets | Biomedical Imaging | link |
| Plug-and-play with BERT as a module in Machine Translation Quality Estimation | NLP | link |
| A PyTorch Tools, best practices & Styleguide | Pytorch | link |
| DEEP LEARNING by Yann Le Chunn | NYU CENTER FOR DATA SCIENCE | link |
| NYU’s Center for Data Science | University Portal | link |
| The Roadmap of Mathematics for Deep Learning | Mathematics | link |
| The first AI model that translates 100 languages without relying on English data | Multilingual Model | link |
| deep-learning-drizzle | Resources for deep learning | link |
| google-research-datasets/Objectron | link | |
| PyTorch Tutorials Refresh - Behind the Scenes | link | |
| Training AI to detect hate speech in the real world | link | |
| Here's how we're using AI to help detect misinformation | link | |
| MLOps: Continuous delivery and automation pipelines in machine learning | link | |
| Companion Jupyter notebooks for the book "Deep Learning with Python" | link | |
| “Was That a Chirp?” Making a Bird Audio Detection ConvNet on PyTorch | link | |
| Deepfake Detection Challenge Results: An open initiative to advance AI | link | |
| Facebook's wave2vec with transformer | link |
Curated list
- MIT 6.S191 Introduction to Deep Learning - Github - Complete Syllabus
- Deep Learning - Atcold - NYU CDS
- Dive into Deep Learning
- Mathematics for machine learning
- Applications of Deep Neural Networks with Keras
- MIT Deep Learning - youtube playlist - github
- Introduction to Deep Learning -- 170 Video Lectures from Adaptive Linear Neurons to Zero-shot Classification with Transformers
- Full Stack Deep Learning***
NLP Resource
Installation resources
- To install Pytorch