Deep Learning

Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch

Use the serverless computing approach to save time and money

Leverage the power of Java and deep learning to build production-grade Computer Vision applications

Speed up the design and implementation of deep learning solutions using Apache Spark

Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games

Concepts, tools, and techniques to explore deep learning architectures and methodologies

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications.

Explore the potential of deep learning techniques in computer vision applications using Python ecosystem

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit

Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues.

Implement techniques such as image classification and natural language processing (NLP) by understanding the different neural network architectures

Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.