What it Artificial Intelligence and How can you learn it?

About the Webinar

Artificial neural networks is a technology that mimics a human brain to learn from some key features and classify or predict in the real world. An artificial neural network is composed of numbers of neurons which is compared to the neurons in the human brain. It is designed to make a computer learn from small insights and features and make them autonomous to learn from the real world and provide solutions in real-time faster than a human. In this webinar you will get to understand all the ins and out of Neural Networks and it’s implementation using Tensorflow.

Agenda

1. When to apply neural nets?
2. General way to solve problems with Neural Networks
3. Understanding Image data and popular libraries to solve it
4. What is TensorFlow?
5. A typical “flow” of TensorFlow
6. Implementing MLP in TensorFlow
7. Limitations of TensorFlow
8. TensorFlow vs. other libraries

About the Trainer

Mr. Srinath Sivalenka is currently working as Sr Manager, Credit and FinTech at Anheuser-Busch InBev. He has also worked at Microsoft as Delivery Data Scientist working on various important projects delivering high-value products to Microsoft Customers. He has extensive experience in Artificial Intelligence, Machine Learning and Analytics with half a decade of experience in working on core tools and technologies related to Data Science.