Deep Learning with Apache Spark - MasterClass!

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.

This comprehensive 3-in-1 course is a fast-paced guide to implementing practical hands-on examples, streamlining Deep Learning with Apache Spark. You'll begin by exploring Deep Learning Neural Networks using some of the most popular industrial Deep Learning frameworks. You'll apply built-in Machine Learning libraries within Spark, also explore libraries that are compatible with TensorFlow and Keras.

Next, you'll create a deep network with multiple layers to perform computer vision and improve cybersecurity with Deep Reinforcement Learning. Finally, you'll use a generative adversarial network for training and create highly distributed algorithms using Spark. By the end of this course, you'll develop fast, efficient distributed Deep Learning models with Apache Spark.

Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Deep Learning with Apache Spark, covers deploying efficient deep learning models with Apache Spark. The tutorial begins by explaining the fundamentals of Apache Spark and deep learning.