It takes the average reader 4 hours and 5 minutes to read Deep Learning Objective by M. Zain Amin
Assuming a reading speed of 250 words per minute. Learn more
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.
Deep Learning Objective by M. Zain Amin is 238 pages long, and a total of 61,404 words.
This makes it 80% the length of the average book. It also has 75% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 35 minutes to read Deep Learning Objective aloud.
Deep Learning Objective is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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