by Soumyo Dey (@ace139) on Tuesday, 12 September 2017

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Status: Submitted
Technical level
Beginner

Abstract

Everyone is interested in Deep Learning these days and the implementation of a Neural Network has become easier using the libraries like Tensorflow, CNTK, Caffe2, PyTorch, Theano etc. It has become more easier to build using high-level wrapper libraries like Keras. This talk targets to explain what really happens in a neural network, how it runs with basic undestanding of concepts like Weights, Biases, Activation functions etc.

Outline

  1. What is Neural Network?
  2. Components of a Neural Network.
  3. Basics of NumPy
  4. Building NN from scratch
  5. Training and Testing

Requirements

  1. Python3
  2. NumPy

Speaker bio

I am a recent graduate in Computer Science & Engineering and currently working in Convergytics, Bengaluru building data-driven business solutions. I am working with Python for more than 3 years now and take deep interest in the field of Data Science and Machine Learning.

Comments

  • 1
    [-] Kushal Das (@kushaldas) Reviewer a month ago

    Thank you for submitting the talk to PyCon Pune. The talk selection team will contact you here in case of any queries. Meanwhile, please make sure that you provide a link to the presentation slides.

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