This course teaches the basic fundamentals you need to get familiar with neural networks and deep learning techniques. Stock volatility forecasting and deep reinforcement learning are just some of the several topics that are covered through this course to give you the skills and the confidence to work on various projects.
- Study in detail the process used to develop deep learning applications
- Discover how optical character recognition works
- Control the movements of a robot using Deep Q-Network (DQN)
- Explore and apply various reinforcement learning techniques
- Label sentences in the Reuters newswire with Keras deep neural network
- Analyze, understand, and generate texts using Natural Language Toolkit
For an optimal experience, we recommend the following hardware configuration:
- Processor: Dual Core or better
- Memory: 4 GB RAM
- Storage: 10 GB available space
You'll also need the following software installed in advance:
- Any of the following operating systems:
- Windows 7 SP1 32/64-bit,
- Windows 8.1 32/64-bit or Windows 10 32/64-bit
- Ubuntu 14.04 or later
- macOS Sierra or later
- Browser: Google Chrome or Mozilla Firefox
- Python 3.x