Beginner's Guide to Deep Learning
divyam3897 |
10
Description:
What is deep learning?
It has recently exploded in popularity as a complex and incredibly powerful tool. This talk will present the basic concepts underlying deep learning for complete beginners. We will review the basic fundamentals of it and code up a simple neural network in Keras. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow which allows easy and fast prototyping of a problem. The talk will be structured as below:
- What is deep learning?
- Why should I care and learn it?
- What is a neural network?
- A simple example
- Predictions with our neural network and results.
Prerequisites:
- Python programming fundamentals.
- Basic knowledge of keras and tensor flow (completely optional as will be covered in the talk).
Content URLs:
The slides will be added soon on Github..
Speaker Info:
Divyam Madaan is an open source enthusiast contributing as a core developer at GCompris which is a high quality educational software suite comprising of numerous activities for children aged 2 to 10. He has been a Season of KDE developer and also a Google summer of Code student, 2017.
He is a Pythonista who works on projects which make life easy for people using AI and the web. He has been working as a Software Developer at KDE from more than one year. He has taken various workshops and talks in his college for students. He has also been a speaker at KDE India Conference and his talks were also selected at Akademy happening in Almeria, Spain and FOSSCON, US.
Speaker Links:
Github: https://github.com/divyam3897
KDE Phabricator: https://phabricator.kde.org/p/dmadaan/
linkedin: https://www.linkedin.com/in/divyam-madaan-0bb627105/
Twitter: https://twitter.com/divyam3897