Tensorflow is one of the most popular open-source Deep Learning Library. It is designed to perform both numeric and neural network-oriented problems. So if you are looking for the Best Free Tensorflow Courses, then this article is for you. In this article, you will find the 7 best free TensorFlow courses.
All courses are free. And you don’t need to pay a single buck. Now without any further ado, let’s get started-
Best Free Tensorflow Courses
1. Introduction to TensorFlow Lite– Udacity
Time to Complete- 2 months
This is a completely free course to learn Tensorflow. In this course, you will learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course will teach how to deploy a TF Lite Model to an Android, Swift, and IOT that classifies images of cats and dogs, images of various objects, etc.
This course is prepared by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. After completing this course, you will have the necessary skills to start deploying your deep learning models into your apps.
Interested to Enroll?
If yes, then check out all details here- Introduction to TensorFlow Lite
2. Intro to TensorFlow for Deep Learning– Udacity
Time to Complete- 2 months
This is another Best Free Tensorflow Course. In this course, you will learn Deep Learning concepts with Tensorflow. At the beginning of this course, you will learn the basics of machine learning and deep learning and build your first neural network that can recognize images of articles of clothing.
Then you will learn Convolutional Neural Networks and Transfer Learning. After that, you will learn Saving and Loading Models.
This course also covers the Time Series Forecasting and Natural Language Processing concepts. At the end of this course, you will learn how to use TensorFlow lite to build machine learning apps on Android, iOS, and IoT devices.
Interested to Enroll?
If yes, then check out all details here- Intro to TensorFlow for Deep Learning
3. Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs– Udemy
Rating- 4.3/5
Time to Complete- 1hr 1min
This Free course is available on Udemy. In this course, you will learn RNNs, LSTMs, GRUs, NLP, Seq2Seq, attention networks, etc. Throughout this course, you will build projects, such as a Time series Prediction, music generator, language translation, image captioning, spam detection, action recognition, and much more.
This is not an advanced-level course but good for understanding the basics of RNN with Tensorflow.
Interested to Enroll?
If yes, then check out all details here- Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs
4. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning– Coursera
Rating- 4.7/5
Time to Complete- 31 hours
This course is Free to Audit but for the certificate, you have to pay. In this course, you will learn best practices for using TensorFlow, how to build a basic neural network in TensorFlow, how to train a neural network for a computer vision application and understand how to use convolutions to improve your neural network.
At the end of this course, you will learn how to improve the results from your deep neural network using a convolution neural network.
Note- To access the course material for Free, press-> Enroll for Free and then press-> Audit the Course.
Interested to Enroll?
If yes, then check out all details here- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
5. Getting started with TensorFlow 2– Coursera
Rating- 4.9/5
Time to Complete- 26 hours
This is another Free to Audit course. This course will teach complete end-to-end workflow for developing deep learning models with Tensorflow. In this course, you will also learn saving and loading models and how to use callbacks to save models, manual saving and loading, and options that are available when saving models, including saving weights only.
At the end of this course, you will work on a Capstone Project, where you will learn an end-to-end workflow for developing deep learning models in Tensorflow and develop a deep learning classifier on a labeled image dataset of street view house numbers.
Note- To access the course material for Free, press-> Enroll for Free and then press-> Audit the Course.
Interested to Enroll?
If yes, then check out all details here- Getting started with TensorFlow 2
6. End-to-End Machine Learning with TensorFlow on GCP– Coursera
Rating- 4.5/5
Time to Complete- 13 hours
You can Audit the Course for free. This course will teach machine learning concepts with Tensorflow. In this course, you will explore a large dataset using Datalab and BigQuery, and learn how to use Pandas in Datalab, and sample a dataset for local development.
Then you will develop a machine learning model in Tensorflow and operationalize the model. In the end, this course explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on Cloud AI Platform.
Interested to Enroll?
If yes, then check out all details here- End-to-End Machine Learning with TensorFlow on GCP
7. Deep Learning with Tensorflow– edX
Time to Complete- 5 weeks
The course material of this course is available freely. But for the certificate, you have to pay. In this course, you will learn the foundational TensorFlow concepts such as the main functions, operations, and execution pipelines.
This course will also teach how to use TensorFlow in curve fitting, regression, classification, and minimization of error functions. You will understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks, and Autoencoders.
Interested to Enroll?
If yes, then check out all details here- Deep Learning with Tensorflow
And here the list ends. So, these are the 7 Best Free Tensorflow Courses. I will keep adding more Free courses to this list.
Conclusion
I hope these 7 Best Free Tensorflow Courses will help you to learn Tensorflow. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
