Deep Learning and Amazon Web Services
Course Description
In this course we will learn about the basics of deep neural networks, and their applications to various tasks. The course aim is to present the mathematical, statistical, and computational challenges of building stable representations for high-dimensional data.
Amazon Web Services Solutions Architect Certification training will enable you to design, plan, and scale AWS implementations utilizing more than 70 cloud computing services.
Course Objectives:
| · | Learn the tools required for building Deep Learning models |
| · | Explore multiple architectures and understand how to fine-tune and continuously improve models |
| · | Learn how the same task can be solved using multiple Deep Learning approaches |
| · | Design one or more services or applications within an organization |
| · | Understand the processes of the business well for creating a cohesive product vision |
| · | Responsible for building and integration of computer systems and information for meeting specific needs |
Course Contents:
| · | Introduction |
| · | Shallow and Deep Neural Networks |
| · | Explaining and Harnessing Adversarial Examples |
| · | Optimization |
| · | Gradient Checking |
| · | Hyperparameter tuning |
| · | Programming Frameworks |
| · | Conditional GAN, CycleGAN |
| · | Networking and Storage |
| · | Databases |
| · | Cloud Management |
| · | Monitoring and Auditing |
| · | Security and Cost Management |
Find out more about Amfasoft's education offerings
Most Visited
Featured Customers
Services