tungwini/apache-mxnet-odsc-2018

Introduction to deep learning with Apache MXNet GLUON. MLP, CNN, RNN and Model Server

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.