Beginners Guide For Tensorflow
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Beginners Guide for Tensorflow
Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence.Install TensorFlow on your computerLearn the fundamentals of statistical regression and neural networksVisualize the machine learning process with TensorBoardPerform image recognition with convolutional neural networks (CNNs)Analyze sequential data with recurrent neural networks (RNNs)Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP)If you're a manager or software developer looking to use TensorFlow for machine learning, this is the book you'll want to have close by.
Tensorflow Machine Learning
Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU. While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others - NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along withHere's what you will learn: -What deep learning is-The difference between deep learning and machine learning-What TensorFlow is-How to install it on Windows and Mac-The basics of TensorFlow-Using TensorBoard-About NumPy, Scikit Learn, and Pandas-About linear regression-Kernel methods-Building an Artificial Neural Network using TensorFlow-TensorFlow image classification-TensorFlow autoencoders-Much moreIf you are already proficient at programming in Python and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that Buy Now button, and set off on a brand new machine learning journey.
Tensorflow Beginners Guide
Author: Dr Helen Jayden
language: en
Publisher: Independently Published
Release Date: 2021-06-05
Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU. While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others - NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with. Here's what you will learn: What deep learning is The difference between deep learning and machine learning What TensorFlow is How to install it on Windows and Mac The basics of TensorFlow Using TensorBoard About NumPy, Scikit Learn, and Pandas About linear regression Kernel methods Building an artificial neural network using TensorFlow TensorFlow image classification TensorFlow autoencoders Much more If you are already proficient at programming and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that "Buy Now" button, and set off on a brand-new machine learning journey.