1. The first 2 hours dedicated to ML Basics.
2. This session we introduce DenseNet, the state-of-art DNN - DenseNets have several compelling advantages: they alleviate the vanishing-gradient
problem, strengthen feature propagation, encourage feature reuse, and substantially reduce the number of parameters. DenseNets obtain significant improvements over the state-of-the-art on most of
them, whilst requiring less computation to achieve high performance.
3. HandsOn on DenseNet, coding and then training DenseNet.
Visit our website to check out all the content covered in past meetups is available on www.mlblr.com
IMPORTANT ANNOUNCEMENT: For the meetup, please bring your laptop and also create an account at https://colab.research.google.com and request for GPU access. Confirming on meetup.com does not confirm your slot!
Join us on WhatsApp: Open this link to join my WhatsApp Group: https://chat.whatsapp.com/58w2NFKq68EFFv5wmVzYwU
You must log in to SLACK, join MLBLR channel, and confirm on "confirm-hands-on" channel. To join on slack use this link: https://join.slack.com/t/mlblr/shared_invite/enQtMzM5MTM0OTI2ODUwLTE1OGIxOTc1YWFhYzYwMjRhOTFmODEzNzc3NWI3YWU1MTE5NzFiZTdhNzRiZWIwNmY3YWU2MWM3YzRlN2RhNzU
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