Anthill Inside 2017

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

Fariz Rahman

@farizrahman4u

Keras: Deep Learning for Python

Submitted Jun 17, 2017

An introduction to the python deep learning library Keras, the philosophy behind Keras, building and training trivial as well as complex models such as GANs, RL, etc using Keras, deploying a Keras model in a production environment, and the future of Keras. Intended audience: Basic algebraic skills and python experience.

Outline

  • Introduction to DL and DL libraries - Theano, Torch, Tensorflow, Keras
  • Keras and the democratization of DL - the philosophy of Keras, importance of API simplicity, Keras as a spec rather than a project
  • Building and training basic Keras models - working with datasets, optimizing input pipeline, using pre-trained models
  • Advanced models : GANs, Seq2seq, RL.
  • Deployment : Deploying a keras model on servers and mobile apps.
  • Future of Keras: Roadmap, community, …

Requirements

Laptop

Speaker bio

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