Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 25 Minute(s)
Language
English
Taught by
Mammoth Interactive, John Bura
Rating
Course Overview
Make an image recognition model with TensorFlow & Python predictive modeling, regression analysis & machine learning!
"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!
Course Content
- 10 section(s)
- 57 lecture(s)
- Section 1 Introduction
- Section 2 Python Basics
- Section 3 TensorFlow Basics
- Section 4 Image Recognition (CIFAR-10 Project)
- Section 5 Bootcamp Peek! Machine Learning Neural Networks
- Section 6 Explore the Keras API
- Section 7 Format Datasets and Examine CIFAR-10
- Section 8 Build the Image Classifier Model
- Section 9 Save and Load Trained Models
- Section 10 Bonus Sections Source Material
What You’ll Learn
- 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.
Skills covered in this course
Reviews
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AAlex Jones
Really dislike the outro and intros. I'm watching these videos back to back so I don't need to see these every single time! Otherwise content is good.
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GGary Latham
Having lots of problems running the examples. Not sure why yet but all the examples from the TensorFlow site work without issue. Seems like I have a different TensorFlow install that is MUCH different.
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KKeegan Bryan
Overall course was helpful for student with limited knowledge of this subject, however the course starts and ends with unnecessary animations. The course section arrangement could be better as the small project was done ahead of proper explanation on everything used in project thus since the lecturer already explained in the project section, other section might not be as useful. Note that this course require : Tensorflow < 2.0, if using tensorflow-gpu & has Nvidia Discrete GPU use Nvidia Cuda 10 and download separately Nvidia cuDNN. Luckily the lecturer remind to download any library mentioned in this course, otherwise require some Google search before able to complete the course.
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DDaniel Mayusa Dewa
Easy to follow, I'd buy more when there are more advance course after this !
