Introduction to deep learning with Apache MXNet GLUON

This repo consists of all the resources (Notebooks, Slides) used for Introduction to Deep Learning - Idea to Production workshop at ODSC 2018, San Francisco.

Topics Covered

In this workshop, we will be covering the following topics:

1. Deep Learning - Motivation
2. Perceptron, Neural Network and Multi Layer Perceptron (MLP)
3. Model building process
4. Convolutional Neural Network (CNN)
5. Introduction to Apache MXNet GLUON
6. Introduction to Gluon-CV
7. Lab - Facial Emotion Recognition, VGG-13, Transfer Learning (Using ImageNet pre-trained weights)
8. Sequence Models - Motivation
9. Natural Language Processing - Basics: One hot encoding, Embedding, Language Model
10. Recurrent Neural Networks
11. Long Short Term Memory (LSTM)
12. Introduction to Gluon-NLP
13. Lab - Sentiment Analysis for IMDB movie review dataset, using pretrained GloVe Embeddings
14. MXNet Model Server - Serving deep learning models in production

Contributions and Reusing

• TalkAI Github organization is created with a purpose of hosting repositories that are easily resuable for workshops, meetups, technical talk and spreading the knowledge!
• All the contents of this repository is open for you to use for any talks/workshop/meetup you want to conduct.
• Please consider contributing back to this repository for any updates, corrections or improvements.