Deep Learning Objective

Deep Learning Objective

Book Description
In this Book Deep Learning Objective the authors covered both Supervised and Unsupervised Deep Learning Algorithms. The authors explain both Theoretical and Practical Implementation in-depth and Explain Each Algorithm from Scratch.
The first and most important thing we focused on is giving the Book a robust structure. Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it.
We representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. We found that this is the best structure for mastering Deep Learning.

Key Features
● Learn Supervised & Unsupervised Deep Learning Algorithms in Depth with Mathematical and Practical Implementation.
●Build your own model from Scratch using Tensor flow, Keras and Pytorch.
●Train supervised and unsupervised models using popular techniques such as ANN, CNN, RNN, SAE, RBM and AE.
●Understand how Keras, Tensor flow and Pytorch can be applied to different types of Deep Learning model.
●Get to know the best practices to improve and optimize your Deep learning systems and algorithms

What you will learn
●Learn the most Powerful algorithms with Mathematical Examples
●Master deep neural network implementation using the TensorFlow, Keras and Pytorch library
●Builds your own projects Like Image Captioning , Recommender System , Self Organizing map and much more.

Who this book is for
●Anyone who interesting in Deep Learning.
●Fundamental knowledge of linear algebra, probability and Calculus will help.
●Intermediate knowledge of Python programming

Table of Contents
1. Introduction to Deep Learning
2. Artificial Neural Network
3. Convolutional Neural Network
4. Recurrent Neural Network & LSTM
5. Self Organizing Map
6. Boltzmann Machine
7. Auto Encoders

About the Author
Amir Ali and Muhammad Zain Amin is authors of this books. They are Co-Founder and AI Research Scientist at Wavy Artificial Intelligence Research Foundation. They have Specialization in Machine Learning and Deep Learning.