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PyCon, the gathering for the community using and developing the open-source Python programming language. This is the first year of the PyCon Pune where the community will meet for two days of talks and working on upstream projects in two days of dev sprint. CFP ends on 30th November AoE.
RR
Raj Rohit
@jalemrajrohit
Deep Learning with (Keras + Tensorflow)
Submitted Nov 24, 2016
Technical level:
Intermediate
Deep Learning is a flavour of Machine Learning which make use of Deep Neural Networks for better and more sophisticated machine learning models.
However, the art of building Deep Learning models is still perceived as rocket science by most people.
This talk would explain the audience about how to spin up deep learning models very easily with Keras, using Tensorflow a the backend.
Target Audience: Data Scientists, or people who want to get started in the Deep Learning domain
Prerequisites: Knowledge of Python. Basic understanding of Map-Reduce(but this is not a strict pre-req)
Outline
- Introduction to a basic sequential neural net model
- A quick coding up of the model
- Understanding and appreciaitng the simplicity of Keras, and how Tensorflow acts as it’s backend
- A brief understanding of how Tensorflow works, under the hood
- Improving up on the model, thus spinning up a deep neuralnet, along with understanding(and appreciating) how each layer works and how the final prediction is done.
Speaker bio
I work as a Senior Software Engineer - Data Science at Zomato. I work on several ML and data science problems at work and as side projects, specializing in recommender systems and neural nets.
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