- Introduction
- Background
- History of Deep Learning
- Key Concepts of Deep Learning
- Key Concepts
- Improving the model
- Optimizing the model
- Lecture 5 - Convolutional network
- CNN
- Recurrent network
- RNN
- Word representation
- Word representation
Have you ever wondered what is Deep Learning and how it is helping today in powering Artificial Intelligence?
This basic course in Deep Learning may unravel some of them. You dont need any technical or coding background to know the basic fundamentals of Neural Network. This course is designed for functional consultants, product managers as well as developers and architects.
Contents of the course:
1. Inspiration for Deep Learning
2. Key Concepts of Deep Learning
3. Improving the model
4. Convolutional network
5. Recurrent network
6. Word representation
Transforming Communities: Understanding the Intersection of Mental Health and Public Health for a Healthier Future.
Introduction to android phones and security
Discussed Leader, People and Process Journey required and its sub-components required for successful transformation.
Graphing functions, Solving Equations, Operations on Fractions / Mixed Numbers, and Solving Linear Systems of Equations.
Learn a simple framework that will help you deliver high quality projects that provide value to the organization
Sunil has over two decades of experience in banking software with leading consulting & technology companies that include McKinsey & Co. , Accenture, Infosys & Oracle. He has keen interest in deep learning and has created multiple learning resources on the topic. He also actively works with the startups as mentors in the area of data and analytics.