Convolutional Neural Networks in Python: CNN Computer Vision
$19.99 $10.99Track price
You’re looking for a complete Convolutional Neural Network (CNN) course that teaches you everything you need to create a Image Recognition model in Python, right?
You’ve found the right Convolutional Neural Networks course!
After completing this course you will be able to:
Identify the Image Recognition problems which can be solved using CNN Models.
Create CNN models in Python using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
Have a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc.
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course.
If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in Python without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create an image recognition model using Convolutional Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
Instructor Details
Courses : 14
Specification: Convolutional Neural Networks in Python: CNN Computer Vision
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7 reviews for Convolutional Neural Networks in Python: CNN Computer Vision
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Price | $10.99 |
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Provider | |
Duration | 7.5 hours |
Year | 2022 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$19.99 $10.99
Ahire Vaishnavi Mohan –
nice course, actually first i thought this is not sufficient but now i can say the you can apply and definitely will learn something good. also the instructors are very helpful
George Parry –
This course was amazing. It takes you all the way from the basics all the way up to building your own model. Would highly recommend to anyone trying to learn how to implement CNNs to classification problems. Also, even after finishing the course the Start Tech team were more than happy to help me with any issues I was having with my own personal project and always replied promptly. Great course and teachers.
Aditya Parashar –
Nice course, Best for beginner or for basic understanding of CNN like How CNN works.
Sumit Nisar –
Nice course for begineers.
Sebastian Suminski –
Another practical course offered by Start Tech. I liked the step by step explanations. The course provides a good foundation (reference point) for advancing in CNNs.
Nada Abbas –
I like it. it is simple and dives into machine learning basics simply and in depth. it is just perfect for a beginner and it was exactly what i was looking for. It would be better is some resources could be added at the end of each lecture for students who are curious about the field so they could get more in depth knowledge this would increase the excellency of the course. thanks so much for providing such a course i will recommend it to my friends and would try to help by adding more indepth articles if i found any to help better understand the details of the course.
Uchenna Richie Akparuorji –
very detailed in his explanation of concepts