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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 243 pages. 11.69x8.27x0.55 inches. In Stock. N° de réf. du vendeur zk1070238945
Quantité disponible : 1 disponible(s)