Course Outline
Introduction
Installation
Quick Start
Programming
- NeuralNet
- Layer
- Param
- TrainOneBatch
- Updater
Distributed Training
Data Preparation
Checkpoint and Resume
Python Binding
Performance test and Feature extraction
Training on GPU
Examples
- Feed-forward models
- CNN
- MLP
- RBM + Auto-encoder
- Vanilla RNN for language modelling
- Char-RNN
Testimonials (5)
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
Catalin - DB Global Technology SRL
Course - Machine Learning and Deep Learning
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course - Advanced Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.