IIT Mandi invites applications for online course on Deep Learning; check details here
The theory sessions will be conducted from 9.00 am to 1.00 pm and lab sessions from 2.00 pm to 6.00 pm every weekend and an assessment will be done at the end of the workshop on the basis of which certificates will be provided.
Indian Institute of Technology (IIT) Mandi, through its iHub and HCI Foundation, is now inviting applications from working professionals as well as students for a 6-day weekend online course deep learning. The course is aimed at executives and working professionals, mostly software engineers and executives, willing to work in the area of artificial intelligence and machine learning.
The theory sessions will be conducted from 9.00 am to 1.00 pm and lab sessions from 2.00 pm to 6.00 pm every weekend and an assessment will be done at the end of the workshop on the basis of which certificates will be provided.
Candidates interested in IIT Mandi Admissions 2021 must note that they have to submit applications before June 20, 2021. The course will be conducted on three weekends starting from 3 to 18 July 2021.
Although the course will be beneficial for professionals, final year students who are pursuing undergraduate, masters or PhD, and even faculty members can also apply. Participants are required to have prerequisite knowledge of linear algebra, python, machine learning and probability theory. Candidates will be admitted into the course on a first come first serve basis.
IIT Mandi Online Course on Deep Learning: Highlights of the course
Candidates interested to enroll into the course can check the highlights of the course below:
- State-of-the-art artificial intelligence and machine learning techniques will be covered in detail
- Practical-oriented workshop
- Extensive hands-on sessions
- Proper workbook for practice
- Opportunities for a research internship
- During the laboratory, session support will be provided by specifically trained teaching assistants
IIT Mandi Online Course on Deep Learning: Topics
Some of the important topics that will be covered are as follows:
- Basics of machine learning and neural networks
- Convolutional neural networks
- Object localisation and detection
- Autoencoders and variational autoencoder
- Generative adversarial networks
- Recurrent neural network and long short-term memory, and Siamese Network
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