Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy,and Matplotlib

Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy,and Matplotlib (English Edition)
Author: Sebastian Klaas
Publisher: BPB Publications (August 23,2021)
Language: English
Paperback: 256 pages
ISBN-10: 9389423716
ISBN-13: 9789389423716
Book Description
Key Features
Understand applications like reinforcement learning,automatic driving and image generation.
Understand neural networks accompanied with figures and charts.
Learn about determining coefficients and initial values of weights.
Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns.
This book starts with a quick view of deep learning in Python which would include definition,features and applications. You would be learning about perceptron,neural networks,Backpropagation. This book would also give you a clear insight of how to use Numpy and Matplotlin in deep learning models.
Author: the end of the book,you’ll have the knowledge to apply the relevant technologies in deep learning.
What you will learn
To develop deep learning applications,use Python with few outside inputs.
Study several ideas of profound learning and neural networks.
Learn how to determine coefficients of learning and weight values.
Explore applications such as automation,image generation and reinforcement learning.
Implement trends like batch Normalisation,dropout,and Adam.