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Complete Guide to TensorFlow for Deep Learning with Python

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!
(15,813 reviews)
87,200 students
Created by Jose Portilla


CourseMarks Score®







Platform: Udemy
Price: $17.99
Video: 14h 9m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

8.7 / 10
This course was last updated on 4/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.9 / 10
We analyzed factors such as the rating (4.4/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.8 / 10
Video Score: 9.7 / 10
The course includes 14h 9m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 8 hours 47 minutes of 111 Deep Learning courses on Udemy.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

7 articles.
5 resources.
0 exercise.
0 test.

Table of contents


Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!
This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!
This course covers a variety of topics, including
•Neural Network Basics•TensorFlow Basics•Artificial Neural Networks•Densely Connected Networks•Convolutional Neural Networks•Recurrent Neural Networks•AutoEncoders•Reinforcement Learning•OpenAI Gym•and much more!There are many Deep Learning Frameworks out there, so why use TensorFlow?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!
Become a machine learning guru today! We’ll see you inside the course!


• Some knowledge of programming (preferably Python)Some basic knowledge of math (mean, standard deviation, etc..)

You will learn

✓ Understand how Neural Networks Work
✓ Build your own Neural Network from Scratch with Python
✓ Use TensorFlow for Classification and Regression Tasks
✓ Use TensorFlow for Image Classification with Convolutional Neural Networks
✓ Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
✓ Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
✓ Learn how to conduct Reinforcement Learning with OpenAI Gym
✓ Create Generative Adversarial Networks with TensorFlow
✓ Become a Deep Learning Guru!

This course is for

• Python students eager to learn the latest Deep Learning Techniques with TensorFlow

How much does the Complete Guide to TensorFlow for Deep Learning with Python course cost? Is it worth it?

The course costs $17.99. And currently there is a 86% discount on the original price of the course, which was $129.99. So you save $112 if you enroll the course now.
The average price is $15.1 of 111 Deep Learning courses. So this course is 19% more expensive than the average Deep Learning course on Udemy.

Does the Complete Guide to TensorFlow for Deep Learning with Python course have a money back guarantee or refund policy?

YES, Complete Guide to TensorFlow for Deep Learning with Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Complete Guide to TensorFlow for Deep Learning with Python course, but there is a $112 discount from the original price ($129.99). So the current price is just $17.99.

Who is the instructor? Is Jose Portilla a SCAM or a TRUSTED instructor?

Jose Portilla has created 24 courses that got 728,598 reviews which are generally positive. Jose Portilla has taught 3 students and received a 4.6 average review out of 728,598 reviews. Depending on the information available, Jose Portilla is a TRUSTED instructor.

More info about the instructor, Jose Portilla

Head of Data Science, Pierian Data Inc.
  Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.


CourseMarks Score®







Platform: Udemy
Price: $17.99
Video: 14h 9m
Language: English
Next start: On Demand

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