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.