Keras 2.x Projects [eLearning]

Keras 2.x Projects [eLearning]

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 5h 23m | 5.44 GB
eLearning | Skill level: All Levels

Keras 2.x Projects [eLearning]: Leverage the power of Keras to build and train state-of-the-art deep learning models

Keras is a Python library that provides a simple and clean way to create a range of deep learning models. This course introduces you to Keras and shows you how to create applications with maximum readability.

You take your first steps by getting introduced to Keras, its benefits, and its applications. As you get comfortable with Keras, you will learn how to predict business outcomes using time series data and various forecasting techniques. By learning the basic concepts of reinforcement learning, you will be able to create algorithms that can learn and adapt to environmental changes and control your robots. Then, you will learn various natural language processing techniques and use the Natural Language Toolkit to analyze, classify, and tag text.

• 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

By the end of the course, you’ll have the skills and the confidence to work on existing deep learning projects or create your own applications.