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Material for introduction to Deep Learning Tutorials, Summer '20, '21

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Introduction to Deep Learning Tutorials, Summer '20, '21

Intro to Deep Learning and Word Vectors

Slides

Open In Colab Intro to Deep NN Playground

Open In Colab Word Vectors Playground


Preliminary Mathematics and Machine Learning

Slides

Open In Colab Visualizing Gradient Descent — Regression and Function Minimization

Open In Colab Example on Classification

Open In Colab Training a Neural Network on a Real World Dataset

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.

Open In Colab PCA and LDA ~ Illustration

Open In Colab Sentiment Analysis of Movie Reviews

Open In Colab 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

Slides

Open In Colab CNN-based Text Encoder

Open In Colab CNNs for Image Classification


Recurrent Neural Networks

Slides

Neural Machine Translation with Encoder-Decoder and Attention

Time Series Prediction using Recurrent Neural Networks

My write-up on use of attention schemes in Neural QA can be found here.


Transformer Models

Slides

Open In Colab Building a Transformer Neural Network

Open In Colab Simple Transfomers for basic tasks using Transformer neural networks