Deep learning has solved tons of interesting real-world problems in recent years. Apache Spark has emerged as the most important and promising machine learning tool and currently a stronger challenger of the Hadoop ecosystem. In this course, you’ll learn about the major branches of AI and get familiar with several core models of Deep Learning in its natural way.
You’ll begin with building deep learning networks to deal with speech data and explore tricks to solve NLP problems and classify video frames using RNN and LSTMs. You’ll also learn to implement the anomaly detection model that leverages reinforcement learning techniques to improve cyber security.
Convolutional Neural Networks for Speech Recognition (NLP)
Performing Video Classification Using RNN and LSTMs
Transfer Learning and Pre-Trained Models
Deep Reinforcement Learning
Generative Adversarial Networks
Distributed Models
Troubleshooting