by Shauryadeep Chaudhuri (@xuryax) on Friday, 1 September 2017

-1
Vote on this proposal
Status: Submitted
Technical level
Intermediate

Abstract

The talk will focus on Introduction to basic concepts of neural networks like CNN & RNN. Create a simple Neural Network which will train itself on MIDI samples of a particular artist. After training the neural network would generate a midi music file of 30 to 60 seconds.I would show two music samples from two different artist. The Music file would be generated and the neural network would be trained beforehand due to time constraints. Would make the code available and walkthrough the code.

Outline

Breaking Up the talk.
1. Introduction to Neural Networks, CNN , RNN (5 Mins)
2. Introduction to tools used like TensorFlow,numpy,pandas (5 Mins)
3. Doing code walkthrough and explaining the code part linking with theoretical part.(10 mins)
4. Showing different music samples generated by training data from different artist. (5 Mins)
5. Q & A Session of (5 Mins)

Requirements

Python
A basic idea about Machine Learning

Speaker bio

I am Shauryadeep Chaudhuri, Worked as an engineer in Persistent Systems for Data Intensive Applications. Now work as an Engineer in Xoxzo Inc. which deals with SMS & Telephony APIs, and each employee works remotely. Took part in PyCon APAC 2017 held in Kuala Lumpur.
An Avid traveller likes to travel as much as possible.

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.

Login with Twitter or Google to leave a comment