Intro_to_DL_tutorial
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Material for introduction to Deep Learning Tutorials, Summer '20, '21
Introduction to Deep Learning Tutorials, Summer '20, '21
- Recorded sessions from summer 2021 (Use your IIIT-H credentials for access)
Intro to Deep Learning and Word Vectors
Preliminary Mathematics and Machine Learning
Visualizing Gradient Descent — Regression and Function Minimization
The dataset for the fouth example can be found here.
If this is way too basic for you, and you're really interested in Optimization Algorithms, go here.
Deep NN for Sentence Salience Prediction & how it can lead to Extractive Summarization
Dataset for sentences with labelled scores can be downloaded from here.
Convolutional Neural Networks
Recurrent Neural Networks
Neural Machine Translation with Encoder-Decoder and Attention
My write-up on use of attention schemes in Neural QA can be found here.
Transformer Models
Simple Transfomers for basic tasks using Transformer neural networks