7 Best TensorFlow Courses To Learn Online [2022 NOV]
Here is my list of top courses to learn Tensorflow from the best platforms online.
For deep learning and artificial intelligence, Tensorflow is the most popular library built by Google. Many AI and Machine Learning companies choose it over other libraries to achieve their goals. To put it simply, if you want to do Deep Learning, you’ll need Tensorflow.
Therefore, I have created this list of the best TensorFlow courses for developers who want to learn this machine learning library and deep learning framework. I have also created a detailed comparison between TensorFlow and Keras, if you want to check it out, you can check it out here.
1. TensorFlow Developer Certificate in 2023: Zero to Mastery — [Bestseller Udemy Course]
This course aims to teach you all the skills you need to pass the TensorFlow exam and get your Google Certified TensorFlow Developer Certificate so you can show it off on your resume, LinkedIn, GitHub, and other social media platforms.
In this TensorFlow course, you will learn the following:
- Applying Deep Learning for Time Series Forecasting.
- Gain the skills you need to become a TensorFlow Certified Developer.
- Be recognized as a top candidate for recruiters seeking TensorFlow developers.
- Learn to pass Google’s official TensorFlow Developer Certificate exam (and add it to your resume).
- Build TensorFlow models using Computer Vision, Convolutional Neural Networks, and Natural Language Processing.
- Test your abilities with the TensorFlow assessment exam to increase your machine learning and deep learning skills.
- Understand how to integrate Machine Learning into tools and applications.
- Learn to build all types of Machine Learning Models using the latest TensorFlow 2.
- Build image recognition and text recognition algorithms with deep neural networks and convolutional neural networks.
- Analyzing real-world images to visualize how a computer “sees” information, plot loss, and calculate accuracy through convolutions.
Topics:
- TensorFlow Fundamentals
- Neural Network Regression with TensorFlow
- Neural Network Classification with TensorFlow
- Computer Vision and Convolutional Neural Networks with TensorFlow
- Transfer Learning with TensorFlow Part 1: Feature Extraction
- Transfer Learning with TensorFlow Part 2: Fine-Tuning
- Milestone Project 1: Food Vision
- NLP Fundamentals in TensorFlow
- Milestone Project 2: SkimLit
- Time Series fundamentals in TensorFlow
- Milestone Project 3: (Surprise)
Featuring over 63.4 hours of engaging content and a course rating of 4.7 out of 5, this is an excellent course to pass the TensorFlow Developer Certification Exam by Google. It includes a Certificate of Completion.
2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning — [Coursera]
It is essential for software developers to understand how to use their tools to build AI-powered algorithms that are scalable and maintainable. Therefore, this course will help you learn how to use TensorFlow, a popular open-source machine-learning framework.
In this TensorFlow course, you will:
- Learn best practices for using TensorFlow, a popular open-source machine-learning framework.
- Build a primary neural network in TensorFlow.
- Train a neural network for a computer vision application.
- Understand how to use convolutions to improve your neural network.
In this course, you will learn the most fundamental principles of Machine Learning and Deep Learning. As a result of this new deeplearning.ai TensorFlow Specialization, you will be able to apply these principles to real-world problems by learning how to use TensorFlow to implement those principles.
Featuring over 18 hours of engaging content and a course rating of 4.7 out of 5, this is an excellent course to learn TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. It includes a Certificate of Completion.
3. Tensorflow 2.0: Deep Learning and Artificial Intelligence — [Udemy]
Starting with some basic models and moving up to state-of-the-art, this course will explore nearly every aspect of machine learning. You will also study all the major deep learning architectures, including Deep Neural Networks (image processing) and Convolutional Neural Networks (sequence data).
In this TensorFlow course, you will learn the following:
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs).
- Predict Stock Returns
- Time Series Forecasting
- Computer Vision
- How to build a Deep Reinforcement Learning Stock Trading Bot.
- GANs (Generative Adversarial Networks).
- Recommender Systems
- Image Recognition
- Convolutional Neural Networks (CNNs).
- Recurrent Neural Networks (RNNs).
- Use Tensorflow Serving to serve your model using a RESTful API.
- Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices.
- Use Tensorflow’s Distribution Strategies to parallelize learning.
- Low-level Tensorflow, gradient tape, and how to build your own custom models.
- Natural Language Processing (NLP) with Deep Learning.
- Demonstrate Moore’s Law using Code.
- Transfer Learning to create state-of-the-art image classifiers.
Advanced TensorFlow topics include:
- Eager execution
- Gradient tape
- Deploying a model with Tensorflow Serving (Tensorflow in the cloud).
- Deploying a model with Tensorflow Lite (mobile and embedded applications).
- Distributed Tensorflow training with Distribution Strategies.
- Writing your own custom Tensorflow model.
- Converting Tensorflow 1.x code to Tensorflow 2.0.
- Constants, Variables, and Tensors.
Requirements: Knowledge of Python and Numpy.
Featuring over 22.5 hours of engaging content and a course rating of 4.6 out of 5, this is an excellent course to learn TensorFlow 2.0, Artificial Intelligence, and Deep Learning. It includes a Certificate of Completion.
4. Getting started with TensorFlow 2 — [Coursera]
Tensorflow is an open-source machine library and is one of the most widely used frameworks for deep learning. Moreover, Tensorflow 2 features a streamlined interface, making it easy for users of all skill levels, from beginners to advanced. The course is designed both for users new to Tensorflow and those with experience in Tensorflow 1.x.
What you will learn from this TensorFlow course:
- Introduction to TensorFlow
- The Sequential model API
- Validation, regularisation, and callbacks
- Saving and loading models
- Capstone Project
During this course, you will learn how to build, train, evaluate, and predict deep learning models with Tensorflow using the Sequential API, validate models and including regularisation, implement callbacks, and save and loading models using the Sequential API.
Featuring over 26 hours of engaging content and a course rating of 4.9 out of 5, this is an excellent Coursera course to learn TensorFlow 2. It includes a Certificate of Completion.
5. Complete Tensorflow 2 and Keras Deep Learning Bootcamp — [Udemy]
This course will help you learn how to create deep-learning artificial neural networks with Google’s TensorFlow 2 framework. You will learn to use Tensorflow 2 and Keras with Python for Deep Learning. Throughout this course, you’ll learn how to understand Google’s TensorFlow 2 framework in an easy-to-understand and accessible manner.
In this TensorFlow course, you will:
- Learn to use TensorFlow 2.0 for Deep Learning.
- Leverage the Keras API to build Tensorflow 2 models quickly
- Perform Image Classification with Convolutional Neural Networks.
- Use Deep Learning for medical imaging.
- Forecast Time Series Data with Recurrent Neural Networks.
- Use Generative Adversarial Networks (GANs) to generate images.
- Use deep learning for style transfer.
- Generate text with RNNs and Natural Language Processing.
- Serve Tensorflow Models through an API.
- Use GPUs for accelerated deep learning.
This course will cover forecasting future home prices, classifying medical images, predicting future sales, and creating artificial text. Students will find this course a good balance of theory and practical implementation, complete with jupyter notebook guides and easy-to-follow notes and slides.
Featuring over 19 hours of engaging content and a course rating of 4.6 out of 5, this is an excellent Coursera course to learn TensorFlow 2. It includes a Certificate of Completion.
6. TensorFlow: Working with Images — [Linkedin Learning]
In this hands-on course, machine learning and AI model expert Jonathan Fernandes teaches you how to use TensorFlow to work with grayscale and color images, as well as transfer learning, early stopping, and TensorBoard training enhancements.
What you will learn from this TensorFlow course:
- Neural Networks and Images
- Transfer Learning
- Monitoring the Training Process
You need TensorFlow 2.0 in your toolkit if you want to master deep learning. It is rapidly becoming one of the most popular deep-learning frameworks.
Featuring over 40 minutes of engaging content, this is an excellent course to learn TensorFlow. It includes a Certificate of Completion.
7. Build, Train, and Deploy Your First Neural Network with TensorFlow 2 — [Pluralsight]
This course teaches the fundamentals of building neural networks from scratch. First, you will examine how machine learning can be used to create data-driven models. Next, you will learn how to apply these principles to neural networks and develop a model that predicts clothing class from images.
What you will learn from this TensorFlow course:
- Why Learn TensorFlow?
- Setting up the TensorFlow Environment
- AI and Machine Learning Concepts
- Applying the Machine Learning Workflow with TensorFlow
- Understanding Neural Networks
- Building and Training Your First Neural Network
- Monitoring and Improving Neural Network Performance
- Deploying Your Neural Network
Afterward, you’ll learn how TensorFlow provides built-in tools, such as TensorBoard, for evaluating and improving neural networks simply. Lastly, you will learn how to deploy your neural network and provide its predictive power to clients.
As a result of completing this course, you will have the knowledge and skills necessary to build, train, and deploy a predictive neural network using machine learning and TensorFlow.
Featuring over 3 Hours of engaging content, this is an excellent course to build your first neural network with TensorFlow. It includes a Certificate of Completion.
Thank you for reading this article about the best TensorFlow courses. I hope this course curation helped you to pick the right course to learn TensorFlow. In case you want to explore more, you can check these articles:
