Needs a location
In this Meetup, we learn the most fundamental yet important concepts in deep learning deeply.
All of these concepts are used to build new models and improve the existing ones and every deep learning enthusiast should 100% fully understand these concepts.
So the following concepts are discussed.
1. Regularization & Dropout.
2. Normalization (Batch, Instance, Layer, Group).
3. Feature and Attention Maps.
4. Weight sharing and Skip connections.
All the concepts have the theory, math and python implementations for deep understanding.
This Meetup is especially for the people who are interested in research so I presume that the participant have good understanding of deep learning, (may not have deep).
Make sure to bring a notebook and pen (mandatory 😜).
RSVP here is not a confirmation for attending this event, a separate mail is sent to the participants before the event as limited seats
so priority is given for frequent enthusiasts.
Less priority for those who RSVPed before but not shown up. Period.
Have a good day.