Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

Pocket Primer

TensorFlow Pocket Primer

Chapter 2: Useful Tensorflow Apis

Frontmatter

Contents

Preface

Chapter 1: Introduction to Tensorflow

Chapter 3: Tensorflow Datasets

Chapter 4: Linear Regression

Chapter 5: Logistic Regression

Index

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine...

Chapter 2: Useful Tensorflow Apis - Chapter 2: Useful...

Chapter 2: Useful Tensorflow Apis

Format

Chapter 2: Useful Tensorflow Apis

Oswald Campesato

La gente también lee