This repository contains the material for the deep neural network workshop delivered on May14-16, 2018 at Microsoft.
- Intro to Neural Networks (theory)
- Lab1: Setup
- Intro to Keras library
- Lab2: Keras – simple image classification on mnist dataset
- Intro to Deep Neural Networks and Convolutional Neural Networks
- Lab3: Keras – CNNs for image classification on fashion mnist dataset
- Intro to Computational Network Toolkit
- Lab4: CNTK with Cifar10 image classification
- Transfer learning
- Lab5: CNTK with transfer learning
- Intro to Recurrent Neural Networks
- Lab6: Character models with char-rnn
- Word Embeddings
- Lab7: LSTM with Keras and CNTK: sentiment analysis on imdb movie reviews
- Deployment of models using containers
- Deployment of models using MLServer
- Lab8: Deploying a CNN model to ML cluster
- Introduction to Cognitive Services
- Introduction to Generative Adversarial Networks
- Lab9: Build a simple GAN
- Introduction to Reinforcement Learning
- Lab10: A simple Q-learning RL model with CNTK
- Develop Your First Neural Network in Python With Keras Step-By-Step: https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
- A relatively easy to understand Neural Networks and Using Keras: https://www.learnopencv.com/neural-networks-a-30000-feet-view-for-beginners/
- Neural Networks & Deep Learning (Coursera, Andrew Ng): https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome
- OpenCV & Machine Learning: http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_intro/py_intro.html
- Deep Learning Virtual Machine: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/deep-learning-dsvm-overview
- Using the Deep Learning VM: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/use-deep-learning-dsvm
- Samples on the Data Science VM: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-samples-and-walkthroughs#cntk
- Submit request for quota increase (GPUs): https://docs.microsoft.com/en-us/azure/azure-supportability/resource-manager-core-quotas-request