Название: Introduction to TensorFlow Using PythonАвтор: Soam Desai
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 126
Язык: английский
Формат: pdf, azw, epub
Размер: 10.7 MB
Introduction to TensorFlow Using Python provides an introduction to using TensorFlow with Python in easy bite sized pieces that any beginner or novice can understand. Filled with simple and straightforward working examples, the book aims to introduce the reader to the wonderful world of machine learning. Follow along for an adventure in coding and solving problems!
This book is meant for the beginner who has some basic coding knowledge; however, if you don’t have any coding experience, you can still tag along and learn a thing or two. This book guides you through the entire process. I still remember when I first started learning about TensorFlow and ai in general. It was tough and it still is. The concepts were abstract and you needed a deep understanding of multivariable calculus and Linear algebra to even get some of the concepts. I only achieved a greater understanding of the concepts after I took those classes. That will not be the case in this book. I have simplified the topics so that high schoolers, even ambitious middle schoolers can understand. We will focus mainly on the coding aspects of TensorFlow and I will make the concepts easier to understand with my quirky analogies and humor. With all that said, I hope you enjoy and make sure to stick with it!
What is Deep learning? It’s one of those buzzwords that’s thrown around nowadays. Every new start-up in Silicon Valley seems to be doing something with “Deep Learning” or artificial intelligence. Well, deep learning is when a multi-layered neural network is trained with data so that the network eventually makes decisions that are similar to that of a human, or are even more optimal. If that sounds complicated, just read on. As seen below the network consists of many neurons which is where the phrase “neural network” comes from. Each neuron itself is simply just a function. It receives input and it sends output to the neuron after it.
The TensorFlow website defines TensorFlow as an “end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications”. I like to think of it as a box in which we can use the tools inside to create something even better. Instead of having to reinvent the wheel, we’re given the wheel and we’re going to make a car! Although the website defined it as a platform, I’m just gonna refer to it as a library. Coding libraries are very common in programming world and all they are is just a few files of code that you can add to your existing code to do more tasks. As described above, this is what TensorFlow is at its very basic level. It gives us code we can use to write programs. TensorFlow has been used by many professionals around the globe and is the most popular deep learning/machine learning library to date. The library is available in many different programming languages, but we are going to be using the Python library because we’re going to be using Python (I’ll explain why later). Although we won’t be doing anything cutting edge, we will be diving into the basics of TensorFlow and will definitely have some fun along the way. Just wait till you finish you first project.
What You Will Learn:
How to use TensorFlow
How to create, train and use a machine learning model on data
How to build and train Neural Networks
Understand how machine learning algorithms work
Clean, model and visualize data
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