Deep Learning

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

Use Java and Deeplearning4j to build robust, enterprise-grade deep learning models from scratch

Learn the essential background and model functioning of various neural network architectures such as CNN. RNN. LSTM, GANs, Autoencoders and more using best practices from an industry expert

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia

Implement popular deep learning techniques to make your IoT applications smarter

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 by implementing them from scratch, along with their practical applications

Build and train neural network models with high speed and flexibility in text, vision, and advanced analytics using PyTorch 1.x

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

Build and train scalable neural network models on various platforms by leveraging the power of Caffe2

Expert guide to design and build advanced neural network models using R 3.5