THE ULTIMATE TENSORFLOW GUIDE FOR BEGINNERS: A Complete Dummies Manual That Assumes You Know Nothing About Tensorflow and Takes you From Scratch to Basics of Tensorflow Program: Also Include Variables

by TAYLOR R. PEIRCE

TеnѕоrFlоw іѕ a free аnd ореn-ѕоurсе ѕоftwаrе lіbrаrу fоr mасhіnе lеаrnіng аnd аrtіfісіаl іntеllіgеnсе. It саn be used асrоѕѕ a range оf tаѕkѕ but hаѕ a раrtісulаr fосuѕ оn trаіnіng аnd іnfеrеnсе оf deep nеurаl networks. 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

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 in Python and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that Buy button, and set off on a brand new machine learning journey. Have you ever wondered how machine learning works? These days, machine learning, deep learning and neural nets are common terms and they are here to stay as a part of our everyday language. Machine learning is not the easiest of topics to teach, purely because there is so much to it.

Machine learning, deep learning and artificial intelligence are used in more applications than most humans even think about - email, Amazon, Netflix, Spotify, and other popular online marketplaces use machine learning to weed out spam emails and bring you recommendations based on your shopping or streaming preferences. Machine learning is used in healthcare, in finance, in just about every industry you can think of - it’s here to stay, whether we like it or not. So let dive in to discover amazing works of tensorflow.

102 pages, Hardcover

Published July 28, 2022