Disclosure: when you buy through links on our site, we may earn an affiliate commission.

TensorFlow 2.0 – Python Neural Networks For Beginner

Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.
/5
Created by Silvio Keybe

8.5

CourseMarks Score®

9.4

Freshness

N/A

Feedback

7.1

Content

Platform: Simpliv Learning
Price: $19.99
Video: 6h51m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

8.5 / 10

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

Freshness Score

9.4 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly.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

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

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

7.1 / 10
Video Score: 7.6 / 10
The course includes 6h51m 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 6 hours 15 minutes of 454 Machine Learning courses on Simpliv Learning.
Detail Score: 8.3 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.

Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning.

Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems.

Module 1: Machine Learning Fundamentals (00:03:25)
Module 2: Introduction to TensorFlow (00:30:08)
Module 3: Core Learning Algorithms (01:00:00)
Module 4: Neural Networks with TensorFlow (02:45:39)
Module 5: Deep Computer Vision – Convolutional Neural Networks (03:43:10)
Module 6: Natural Language Processing with RNNs (04:40:44)
Module 7: Reinforcement Learning with Q-Learning (06:08:00)
Module 8: Conclusion and Next Steps (06:48:24)

Requirements

• Everything you need to know is taught in this course
• You are also welcome to look at our lessons again, so that you know what to expect

You will learn

All about:

✓ Machine Learning
✓ Python
✓ TensorFlow

This course is for

• aspiring personalities who want to enter one of the most hottest topics on this planet with huge future potential
• beginners in machine learning
• people who like a hands-on approach and not only watching

How much does the TensorFlow 2.0 - Python Neural Networks For Beginner course cost? Is it worth it?

The course costs $19.99. And currently there is a 80% discount on the original price of the course, which was $99.99. So you save $80 if you enroll the course now.
The average price is $17.2 of 454 Machine Learning courses. So this course is 16% more expensive than the average Machine Learning course on Simpliv Learning.

Does the TensorFlow 2.0 - Python Neural Networks For Beginner course have a money back guarantee or refund policy?

YES, TensorFlow 2.0 – Python Neural Networks For Beginner has a 20-day money back guarantee. The 20-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 TensorFlow 2.0 – Python Neural Networks For Beginner course, but there is a $80 discount from the original price ($99.99). So the current price is just $19.99.

Who is the instructor? Is Silvio Keybe a SCAM or a TRUSTED instructor?

Silvio Keybe has created 1 courses that got 0 reviews which are generally positive. Silvio Keybe has taught 0 students and received a average review out of 0 reviews. Depending on the information available, Silvio Keybe is a TRUSTED instructor.

More info about the instructor, Silvio Keybe

8.5

CourseMarks Score®

9.4

Freshness

N/A

Feedback

7.1

Content

Platform: Simpliv Learning
Price: $19.99
Video: 6h51m
Language: English
Next start: On Demand

Students are also interested in

Other courses by ​Silvio Keybe

Get this widget on your website (for course creators):

TensorFlow 2.0 - Python Neural Networks For Beginner rating
Copy this code and paste it to your website:
<a href="https://coursemarks.com/course/tensorflow-2-0-python-neural-networks-for-beginner/" target="_blank" title="TensorFlow 2.0 – Python Neural Networks For Beginner on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/86.svg" width="200px" alt="TensorFlow 2.0 – Python Neural Networks For Beginner rating"/></a>