Introduction To DataFlow Graphs As Basis of Deep Neural Networks

“Deep Neural Nets” — the buzzword that has been around for quite a while now with its applications ranging from Text Classification to Self-Driving cars, Photo Realistic Image Generation, Music Composition, Robotics and many more yet to pop. Interestingly, the matter of fact is that at the heart of all these super intelligent applications, it’s actually just a stream of mathematical derivatives floating under the hood of such seemingly complex systems.

The Purpose of this Blog Post is to…

explain the mathematics of the dataflow graphs as basis of neural networks_ from scratch._

The Target Audience is…

Anyone with following prerequisites :

1. A detailed know how of gradient descent algorithm (I have explained it in detail here) and a profound technical grip with all basic machine learning algorithms — Deep Learning is an advanced subset of Machine Learning.
2. You know how to compute partial derivatives of a function.

#deep-neural-networks #deep-learning #machine-learning #dataflow #deep learning