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
* Gradient descent
* Hyperparameters of NNs
* Over/underfitting problem and solutions
* Bias and variance
* Regularization techniques
and much more!
You'll get 25 pages full of only what you need to know about the basis of deep learning.