Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.

Sponsored keynote: "AI: unleashing the next wave."

Milind Hanchinmani, Intel

30 minutes 2 August 2017

Adversarial attacks on Deep Learning models.

Konda Reddy Mopuri, IISc

44 minutes 4 August 2017

Keep calm and trust your model: on explainability of ML models.

Praveen Sridhar,

30 minutes 4 August 2017

Apache MXNet: a highly memory efficient deep learning framework.

Girish Patil, AWS

20 minutes 4 August 2017

Identifying urban makeshift communities using satellite imagery and geo-coded data.

Akarsh Zingade, DataKind

22 minutes 4 August 2017

How deep is Deep Learning?

Amar Lalwani, Funtoot

34 minutes 4 August 2017

Unsupervised and semi-supervised Deep Learning for medical imaging.

Kiran Vaidhya, Predible Health

33 minutes 4 August 2017

PyTorch demystified: why did I switch?

Sherin Thomas, CoWrks

32 minutes 4 August 2017

Saving the Princess with Deep Learning.

Navin Pai, IIIT-B

18 minutes 2 August 2017

Synthetic gradients: decoupling layers of neural nets.

Anuj Gupta, Freshdesk

41 minutes 2 August 2017

Hitchhiker’s guide to Generative Adversarial Networks (GANs).

Ramanan Balakrishnan, Semantics3

43 minutes 2 August 2017
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Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more