Fundamentals of Deep Learning in 25 pages

With this small e-book, you get access to the meticulously curated information on the fundamentals of deep learning. Only what you need to know, shown in diagrams and visualizations. It includes topics of:

* What is deep learning? How it relates to other disciplines?

* Building blocks of Neural Networks

* Activation functions

* Backpropagation

* Gradient descent

* Hyperparameters of NNs

* Over/underfitting problem and solutions

* Bias and variance

* Regularization techniques

and much more!