FTC disclaimer: This post contains affiliate links and I will be compensated if you make a purchase after clicking on my link.
TensorFlow is an open source software library for numerical computation using data flow graphs.
Originally developed by Google Brain team, it allows you to deploy computation to one or more CPUs or GPUs in any device with a single API.
I have handpicked best TensorFlow courses in Udemy that are overall well received by the students on either with the ratings or feedbacks or enrollments numbers.
The courses are considered best because students have loved these courses (ratings) and benefited from it (number of enrollments).
Note: All the Udemy courses mentioned below have inclusive features such as 30 days money back guarantee, lifetime access to the course material, a certificate on completion and you can access the course in both Android and iOS.
If you’re interested only in free courses please refer free Udemy courses and also read my Udemy review for more details about the company.
Best Udemy Tensorflow Courses and Tutorial
#Course 1: Complete Guide to TensorFlow for Deep Learning with Python
Course name: Complete Guide to TensorFlow for Deep Learning with Python
Author: Jose Portilla
About this course:
Get to learn how to use TensorFlow for deep learning with Python from Udemy’s popular data scientist author Jose Portilla.
The course serves as complete guide to using TensorFlow framework with coding references and plenty of exercises to practice.
Learn how neural networks work with Python, how to use TensorFlow for classification and regression tasks, how to conduct reinforcement learning with OpenAI, Image classification with CNN, solve unsupervised learning problems with AutoEncoders and much more.
Highly recommended course for those looking for an excellent coverage of TensorFlow for Deep Learning models.
What student’s are saying after taking this course?
Ratings: 4.4+ from 8,756+ students; Currently Enrolled: 52,030+
#Course 2: Machine Learning, Data Science and Deep Learning with Python
Course name: Machine Learning, Data Science and Deep Learning with Python
Author: Frank Kane
About this course:
This comprehensive Udemy TensorFlow tutorial from Frank Kane is the bestseller in terms of both ratings and enrollments.
The course includes 80 lectures with hands on Python code examples with focus on practical understanding of ML concepts, data mining techniques, AI, etc.
The course material is aligned with what an employer looks for in a data scientist profile.
Some of the topics you will be learning in the course are: Neural networks with TensorFlow and Keras, Sentiment and Regression Analysis, K-Means Clustering, Bayesian methods, Support vector machine, Reinforcement learning, etc with an entire section on ML with Apache Spark.
What student’s are saying after taking this course?
Ratings: 4.5+ from 12,226+ students; Currently Enrolled: 82,582+
#Course 3: Data Science: Deep Learning in Python
Course name: Data Science: Deep Learning in Python
Author: Lazy Programmer Inc.
About this course:
If you are looking for an in-depth Udemy TensorFlow courses online, enrol yourself to this awesome course from Lazy Programmer.
His courses are always best in class when it comes to course material and his unique teaching style.
Here in this course, he teaches you how deep learning really works and how to code with pure Python and TensorFlow.
What you will be learning in this course: How to code a neural network in Python and numpy, types of neural networks and their associated problems, derive backpropagation using first principles, implement a neural network using Google’s TensorFlow library, etc.
What student’s are saying after taking this course?
Ratings: 4.6+ from 4,348+ students; Currently Enrolled: 32,129+
#Course 4: Modern Deep Learning in Python
Course name: Modern Deep Learning in Python
Author: Lazy Programmer Inc.
About this course:
This is an advanced course on neural networks and deep learning, it dives into TensorFlow variables and expressions, how to use them to create neural networks with popular deep learning library called Theano and much more.
Some of the prerequisites before taking this course are knowledge in Calculus, linear algebra, probability, Python and Numpy coding.
Best course for data scientists looking to deepen their deep learning knowledge in stochastic batch training, momentum and adaptive learning rate procedures like RMSProp.
What student’s are saying after taking this course?
Ratings: 4.6+ from 1,423+ students; Currently Enrolled: 18,769+
#Course 5: Master Deep Learning with TensorFlow in Python
Course name: Master Deep Learning with TensorFlow in Python
Author: 365 Careers
About this course:
If you are looking to gain a strong understanding of TensorFlow, this course from 365 careers is worth looking into.
The course teaches you how to build deep learning algorithms in Python using NumPy and TensorFlow, the maths behind these algorithms, understand concepts like Backpropagation, Stochastic gradient descent, Batching, Momentum and much more.
The course has got some amazing feedbacks from students who have previously enrolled to the course.
What student’s are saying after taking this course?
Ratings: 4.5+ from 821+ students; Currently Enrolled: 6,425+
Note: All Udemy prices fluctuate throughout the year. Lookout for internal Udemy sales to buy these courses at a lesser price!
Also, if you find similar TensorFlow courses in Udemy that are not compromising on quality, please let us know in the comments section.
Happy Learning!
