Top Down Introduction to BERT with HuggingFace and PyTorch
I will also provide some intuition into how BERT works with a top down approach (applications to algorithm).
bert top-down huggingface pytorch
The Future of (Transfer Learning in) Natural Language Processing
Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions.
natural-language-processing transfer-learning tutorial
The Illustrated Self-Supervised Learning
A visual introduction to self-supervised learning methods in Computer Vision
self-supervised-learning computer-vision illustrated tutorial
Neural Networks for NLP (CMU CS 11-747)
This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to ...
natural-language-processing course carnegie-mellon neural-networks
Getting started with JAX (MLPs, CNNs & RNNs)
Learn the building blocks of JAX and use them to build some standard Deep Learning architectures (MLP, CNN, RNN, etc.).
jax xla autograd tpu
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
D2l-pytorch
Reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
pytorch book d2l-ai tutorial
NLP Model Selection
NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution.
transfer-learning natural-language-processing tutorial
ML Drawings
Rich repository of ML drawings exported to XML and PNG created using draw.io
visualizations machine-learning drawings toolkit
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.
recurrent-neural-networks lstm keras tensorflow
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