Learning TensorFlow can help propel you into the tech industry as more and more companies make use of machine learning, artificial intelligence, and deep learning.
Deep learning uses data and algorithms to build neural networks. These networks mimic real-world human perception and behavior so AI can duplicate and analyze it. This is a fascinating field, and it’s made space for new platforms, including TensorFlow.
In this article, we will introduce you to the software and give you every resource you need to learn how to use TensorFlow.
What Is TensorFlow?
TensorFlow is an open-source neural network framework made by Google. Web developers and researchers use this software for artificial intelligence and machine learning.
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Google initially made this partner program to improve its services in Gmail, Google Photos, and the search engine. But this deep learning software has transformed enterprise business techniques. Companies like Amazon use deep learning software to interpret customer data.
TensorFlow can run on many different platforms. You can use a mobile device, desktop, or as a Google cloud platform. TensorFlow functions on graph computations that allow the developer to create a neural network with Tensorboard, which debugs software programs. TensorFlow runs on CPU and GPU.
What Is TensorFlow Used For?
TensorFlow is currently used for deep learning applications, but it can also assist machine learning. The platform makes its artificial intelligence library accessible to everyone. This library contains different APIs used to build deep learning architecture like RNN.
Developers use TensorFlow to build neural networks for classification, understanding, discovering, prediction, and creation. You can also use it for voice recognition, text applications, image recognition, video detection, and time series.
Learning Tensor Flow
Learning TensorFlow requires a few background skills. Once you master those, you can understand and start learning the software.
How Long Does It Take to Learn TensorFlow?
The time it takes to learn TensorFlow depends on your background knowledge. Ask yourself if you know how data science, machine learning, and AI are different. This tech knowledge is a great place to start, and then you can start researching further.
Once you have a background in Python and other essential topics, then you can take courses on TensorFlow. Course duration and difficulty vary, but most people can master it in a couple of weeks, depending on their commitment.
How to Learn TensorFlow: Step-By-Step
You should always have an efficient plan to learn a new skill. Below a step-by-step guide to help you learn TensorFlow in the most productive way you can.
- Find out where you stand. Do you know the basics of machine learning and deep learning? Read more about it and find out what interests you.
- Enroll in Python courses. Find a Python course that works for you, if you don’t already have a background in it. TensorFlow software uses the Python programming language for problem-solving and creations.
- Enroll in TensorFlow courses. Now that you have the programming knowledge, you can enroll in a TensorFlow course. Choose from the courses listed below.
- Practice. After learning the skills, practice them. Use online resources to your advantage and take classes that offer hands-on experiences.
- Take the certification exam. Now that you’re ready, get certified. You can start applying for the jobs you want with the help of these certifications.
The Best TensorFlow Courses
Machine and deep learning platforms are becoming more and more popular as our dependence on technology increases. Why not join the industry while you can? See below to find the best courses, books, and other resources to learn TensorFlow.
Best Online Tensor Flow Courses
What better way to learn a machine learning platform than with a machine? With a little discipline, online courses are becoming a great way to learn on your own time. Below are some of the best online courses on TensorFlow.
- Course name: TensorFlow 101: Introduction to Deep Learning
- Time: 4 hours on demand
- Prerequisites: Familiarity with machine learning and basic Python
- Cost: $99.99
Udemy offers this great introductory course on deep learning using TensorFlow. You’ll learn the basics, like how to build deep learning models for different business domains and how to use face recognition.
You will also learn to apply segmentation analysis and tune machine learning models for more successful results. This course offers tons of opportunities for practice by providing assignments after every section. Thousands of students have taken this course, and it has great reviews all around.
- Course name: Building Machine Learning Solutions with Tensor Flow
- Time: Self-paced
- Prerequisites: Machine learning literacy and basic Python
- Cost: Monthly $29.99, Annually $299
This PluralSight course offers three levels, and you can move up each time. You’ll learn how to design and implement machine learning solutions using Python in TensorFlow. You’ll also learn to apply TensorFlow to analytical problems to debug and deploy the cloud projects.
This course can also teach you how to apply the software applications to image recognition, language modeling, and predictive analysis. Pluralsight has both the basics and exciting advanced knowledge. You earn a certification of completion at the end of the course.
- Course name: Complete Tensor Flow 2 and Keras Deep Learning Bootcamp
- Time: 19 hours on demand
- Prerequisites: Basic Python and math derivatives
- Cost: $129.99
Udemy offers hundreds of great tech courses, so we had to add another one. This course will teach you everything you need to know about using TensorFlow 2.0 for deep learning and Keras. You will learn to perform image classification and forecast time series data with neural networks.
This course also covers TensorFlow and Keras modeling through API and how to use deep learning for medical imaging. This is a great course to learn a variety of models from LSTM, CNN, GAN, ANN, and RNN. You’ll also earn a certificate when you complete this course.
Best Free TensorFlow Online Courses
Here are some of the best free courses on how to use TensorFlow. They may be free, but they’re still high quality. You can expand your knowledge even further with these TensorFlow courses.
- Course name: Deep Learning with TensorFlow
- Time: 5 Weeks (2-4 hours/week)
- Prerequisites: Python, Jupyter notebooks, basic machine learning, and deep learning
- Cost: FREE
In this edX course by IBM, you will learn all about deep learning in TensorFlow. It can teach you foundational concepts like operations and execution pipelines, and how the flow can be used in curve fitting and minimization of errors.
You will also learn different types of deep architectures, such as recurrent networks and convolutional neural networks, and how you can apply them. This is a fantastic course on data analysis and statistics, and it’s free. You can pay for a verified certification at the end of the course for $99.
- Course name: Introduction to TensorFlow
- Time: 19 hours on demand
- Prerequisites: None
- Cost: FREE
This Coursera course is a great option for people with less background knowledge. A beginner’s course isn’t necessarily easy, and you’ll have to work hard to make the best of it. It will teach you how to use the software systems to build, train, and deploy ML models.
This course tackles machine learning, Python programming, Keras, TensorFlow, and building input data pipelines. You will also learn sequential and functional APIs for model creation, and how to use the library to manipulate large data sets. This is an in-depth course offered by Google Cloud Training, so you’re still getting a quality education. You can earn a paid certification upon completion.
- Course name: Intro to TensorFlow for Deep Learning
- Time: 2 months
- Prerequisites: None
- Cost: FREE
This TensorFlow course, offered by Udacity, covers the overall deep learning applications. This is a great course if you want to get hands-on experience and build your deep learning models and image classifiers.
You will also learn the flow models in clouds, mobile phones, and browsers. You’ll be able to manipulate large data sets and start creating your own AI by the end of this course. This self-paced learning system offers great interactive quizzes to practice what you learned.
Best TensorFlow Books
You can also use books to learn TensorFlow, and they’re often less expensive than paid courses. Here are some of our top picks.
Learning TensorFlow: A Guide to Building Deep Learning Systems 1st Edition Tom Hope, Yehezkel S. Resheff and Italy Lieder
The authors of this book provide a practical guide to TensorFlow fundamentals. You’ll work on everything from basic examples of the flow to advanced topics.
The topics include neural network architectures, TensorBoard visualization, abstraction libraries, and multithreaded input pipelines. By the end of the book, you will be able to build a model on the flow from scratch and train deep learning models for computer visions and NLP.
Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras 1st Edition Benjamin Planche and Eliot Andres.
This is a great practical guide book if you have a background with Python and image processing but are new to deep learning. You will learn to create your networks from the ground up and classify images with Inception and ResNet.
You will also learn how to detect and tackle problems in facial emotion recognition, self-driving cars, YOLO, Mask R-CNN, and U-Net. This book will teach you both practical and theoretical skills to solve advanced computer problems with TensorFlow 2.0.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition Aurelien Geron
Geron uses concrete examples in this practical guide book to teach you Python frameworks like TensorFlow and Scikit-Learn. You will learn various technical skills as they relate to simple linear regression and deep neural networks.
You will also learn how to use the TensorFlow library to build and train neural nets. The book covers convolutional nets, recurrent nets, and deep reinforcement learning. All you need is basic programming experience to learn deep learning AI systems and ace TensorFlow.
Getting TensorFlow certified validates your skill in deep and machine learning, which gets you ready for the AI industry. You can learn all you want, but you won’t stand out in a crowd without a certification. Practice and ace the exam to get certified as soon as you can.
This certification will give your TensorFlow skills recognition. You will have to prove your knowledge of deep learning and machine learning in the platform. The certificate is meant for developers, students, data scientists, or those who want to showcase their practice machine learning skills.
The test expects you to know the foundational concepts of deep and machine learning. You should know how to build image and text recognition using neural networks. You should also understand how the computer sees an image through convolutions, and how to apply neural networks to solve problems using the platform. This is a great certification for programmers and IT professionals who want to keep up with the industry.
Online TensorFlow Resources
Another important part of the learning process is practicing and getting comfortable with the subject. There are many online resources you can use to further learn this software.
This is an amazing resource library by TensorFlow. It gives you access to almost every single concept related to the software. If you want a tutorial on TensorFlow models, this page will lead you to it.
Overall, it is a great and informative resource to help you learn and understand the software. You should browse this page while you’re learning to get the most out of TensorFlow.
Blogs are another great way to learn, and Feedspot provides just that. You can access many TensorFlow blogs on this page that covers a variety of topics. You can find everything you need here: articles on Python TensorFlow tutorials, the best hardware for the software, and more.
You can also get connected to other resources you need to master the software. You only have to read one blog a day to keep yourself updated.
Should You Learn TensorFlow?
Are you interested in the world of artificial intelligence? TensorFlow might be a great next step in your career.
Learning how to use TensorFlow will help you succeed in the AI industry. If you choose to learn this software, start your journey as soon as you can. Now is the time for open-source software.
If you lack the programming language skills then you can learn to code and program on your own using the plethora of online resources. There are many Python for beginners courses available for you to get started. Overall, if you want to help build the future of tech and get the best tech jobs in 2021, you should learn TensorFlow.
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