Webinar on All you need to know about Deep Learning

Webinar Date: 27/09/2017 Duration: 1:00hr

HackerEarth is pleased to announce its next webinar on Deep Learning, to help you learn from the best programmers and domain experts from all over the world.

About this webinar:

Deep Learning is an enigma for most. This technology enables us to build intelligent machines that are designed to model the human brain. Solutions already exist for image, speech and data analytics solutions that deliver human level accuracies using deep learning algorithms. This webinar gives you an opportunity to gain knowledge and insight into what deep learning is all about, and what are the current trends in the domain of deep learning and their applications.

Point wise Agenda on things that would be covered in the webinar:

1. Deep Learning – Motivation
2. Intelligent System Behavior
3. History of Deep Learning
4. Mathematical Model of Neuron
5. Multilayer Perceptron [MLP]
6. Forward Propagation & Backward Propagation in MLP
7. Convolutional Neural Networks
8. Unsupervised Learning
9. Enablers for Faster Growth in Deep Learning
10. Recurrent Neural Networks & its Applications

Speaker:

Atul Katole is a Senior Principal Scientist at Honeywell Technology Solutions. Atul has over 14 years of experience in the field of Deep Learning/Artificial Intelligence based multimedia and data analytics research. He works on Deep Learning based object recognition and speech recognition domains.
Atul is an M.E (Signal Processing) from the Indian Institute of Science Bangalore and B.E. (Electronics) from Y.C.C.E, Nagpur University.

 

The Webinar is scheduled for September 27, 2017, 8:00 PM - 9:00 PM IST.

You can go ahead and register by clicking the button below.https://attendee.gotowebinar.com/register/3175756103790264578?utm_source=Blog

About the Author

Vishal Pathik Gupta
Developer Evangelist and Community Manager | Startups | Philosophy | Photography | Music | Cooking | SND | GDG BLR | Believe in making things simple & straight forward!

Author Webinar

3
168