Deep Learning

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

Build Supervised, Unsupervised & Reinforcement Learning models with real-world examples

Understand basic to advanced deep learning algorithms by implementing them from scratch, along with their practical applications

Implement and empower java applications with smart neural networks and specialized deep learning techniques

Practical solutions to your problems while building Deep Learning models using CNN, LSTM, Scikit-Learn, and NumPy

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

All the key deep learning methods built step-by-step in PyTorch

Develop industrial solutions based on deep learning models with Apache Spark

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

Seven short lessons and a daily exercise, carefully chosen to get you started with PyTorch Deep Learning faster than other courses

Your hands-on guide Deep Learning to get you up and running with TensorFlow 2.0, more effectively than other courses!

Learn how to solve the most common Deep Learning challenges in a variety of fields including Computer Vision and NLP