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Build and train a data model to recognize objects in images!

Make an image recognition model with TensorFlow & Python predictive modeling, regression analysis & machine learning!
4.0
4.0/5
(197 reviews)
1,421 students
Created by

7.8

Classbaze Grade®

5.9

Freshness

7.8

Popularity

9.2

Material

Make an image recognition model with TensorFlow & Python predictive modeling
Platform: Udemy
Video: 8h 25m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

7.8 / 10

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

Freshness

5.9 / 10
This course was last updated on 1/2019.

Course content can become outdated quite quickly.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.

Popularity

7.8 / 10
We analyzed factors such as the rating (4.0/5) 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.

Material

9.2 / 10
Video Score: 8.9 / 10
The course includes 8h 25m 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 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 8.9 / 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:

12 articles.
8 resources.
0 exercise.
0 test.

In this page

About the course

“Well done!!!!!! I found it the BEST source for me out of many to learn how to implement AI project due the facts it starts from the very basics of Python and TensorFlow and assumes no prior knowledge (or almost no prior knowledge) which should not be taken for granted since other courses do so. The instructor is wonderful and explains all the concepts wonderfully! Thank you so much! helped me a lot!”
“Very easy to understand. Loving it so far!” – Arthur G.
This course was funded by a wildly successful Kickstarter.
Let’s learn how to perform automated image recognition! In this course, you learn how to code in Python, calculate linear regression with TensorFlow, and perform CIFAR 10 image data and recognition. We interweave theory with practical examples so that you learn by doing.
AI is code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers! 
Join Mammoth Interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to image recognition.
Enroll today to join the Mammoth community!

What can you learn from this course?

✓ Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
✓ Learn TensorFlow and how to build models of linear regression.
✓ Make an image recognition model with CIFAR.

What you need to start the course?

• Please download PyCharm Community Edition 2017.2.3.

Who is this course is made for?

• Beginners who want to learn to use Artificial Intelligence.
• Prior coding experience is helpful. For an in-depth intro to Python, search for our Ultimate Python Beginner Course.
• Topics involve intermediate math, so familiarity with university-level math is very helpful.

Are there coupons or discounts for Build and train a data model to recognize objects in images! ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Build and train a data model to recognize objects in images! course?

YES, Build and train a data model to recognize objects in images! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Build and train a data model to recognize objects in images! course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Mammoth Interactive?

Mammoth Interactive has created 217 courses that got 11,646 reviews which are generally positive. Mammoth Interactive has taught 371,655 students and received a 4.3 average review out of 11,646 reviews. Depending on the information available, we think that Mammoth Interactive is an instructor that you can trust.
Top-Rated Instructor, 800,000+ Students
“I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this.” – Student Matt W.
“Very good at explaining the basics then building to more complex features.” – Student Kevin L.
Mammoth Interactive has been contracted to produce epic soundtracks, addicting levels, rock solid programming and business development.
Browse all courses by on Classbaze.

7.8

Classbaze Grade®

5.9

Freshness

7.8

Popularity

9.2

Material

Platform: Udemy
Video: 8h 25m
Language: English
Next start: On Demand

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