Foundations of Deep Learning for Engineering and Science - Hands on Using Python 2019

Deep Learning has been a buzzword not only in the scientific community but also in netizens life!. Deep learning models have myriad applications: speech recognition , face recognition, stock market prediction and gene target in biology, just to name a few to show its diversity of applications in the scientific community . All major tech giants such as Google, Facebook, Twitter and so on have been applying deep learning models for various tasks which were once considered difficult to solve on a large scale.However, deep learning models which are popular nowadays are not new! It was there in 1980's but they are being used extensively now, only because of the availability of computational power. In a nutshell, if you have data, deep learning models might help you in whatever the problem you are dealing with.

All the variety of deep learning models such as CNN (Convolutional Neural Networks) and RNN (Recurrent Neural Networks) have underlying principles behind its operation. It is important to understand those principles mathematically in order to create and apply the deep learning models for a particular task at hand. The purpose of this workshop is to set the learning platform to understand those principle mathematically (Intuitively) by coding it from the scratch. We believe that once the foundation is laid, everyone can build on it on their own.

Workshop

Foundations of Deep Learning for Engineering and Science - Hands on Using Python (Learn by Coding) , 2019

Last Date for Receipt of Applications : 16.02.2019
Intimation of Selection : 18.02.2019
Confirmation by Participants : 19.02.2019

Registration Fee : Rs.1180/- (Registration fee includes service tax, workshop kit, lunch and refreshment)

The Demand Draft for the registration fee must be drawn in favor of “IIP Cell Grant in Aid Account”, payable at Perundurai or Erode.

The college is situated at Perundurai on the National highway (NH 47) about 80 kms from Coimbatore and 20 kms from Erode. It is well connected by road and rail.

Boarding and lodging will be provided to the participants in the college campus on chargeable basis.