Following is what you need for this book: This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network ...

Repository for the book Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python. Deep learning is not just the talk of the town among tech folks.

By the end of the book, you’ll pack everything into a complete Python deep learning library, creating your own class hierarchy of layers, activation functions, and neural network architectures ...

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural ...

The book deals with creating a CNN, ethical implications of deep learning, an overview of TensorFlow and PyTorch, basics and advanced programming in Python etc. The book is a clinic on how to code in ...

Python Neural Network in Action blue, 1.4, 0.3, setosa pink, 4.9, 1.5, versicolor teal, 5.6, 1.8, virginica. The three predictor variables -- color, length and width -- are in the first three columns ...

Python Neural Network in Action blue, 1.4, 0.3, setosa pink, 4.9, 1.5, versicolor teal, 5.6, 1.8, virginica. The three predictor variables -- color, length and width -- are in the first three columns ...