Our team of expert reviewers have sifted through a lot of data and listened to hours of video to come up with this list of the 10 Best Convolutional Neural Networks Online Training, Courses, Classes, Certifications, Tutorials and Programs.
10 Best Convolutional Neural Networks Courses, Training, Classes & Tutorials Online
| Course Name | Enrolled Students (Count) | Reviews (count) |
|---|---|---|
| 1. Deep Learning: Convolutional Neural Networks in Python Our Best Pick | 22657+ | 2885+ |
| 2. CNN for Computer Vision with Keras and TensorFlow in Python | 41885+ | 338+ |
| 3. Image Recognition for Beginners using CNN in R Studio | 40513+ | 113+ |
| 4. Convolutional Neural Networks: Zero to Full Real-World Apps | 1023+ | 108+ |
| 5. Deep Learning : Computer Vision Beginner to Advanced Pytorch | 7802+ | 102+ |
| 6. Modern Deep Convolutional Neural Networks with PyTorch | 4801+ | 57+ |
| 7. Deep Learning: CNNs for Visual Recognition | 191+ | 30+ |
| 8. Deep Learning : Plunge into Deep Learning | 2297+ | 22+ |
| 9. Convolutional Neural Networks for Medical Images Diagnosis | 54+ | 12+ |
| 10. “News classification using CNN, Keras and word embeddings” | 18+ | 5+ |
1. Deep Learning: Convolutional Neural Networks in Python by Lazy Programmer Inc. Udemy Course Our Best Pick
Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
At the time of writing this article, over 22657+ individuals have taken this course and left 2885+ reviews.
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2. CNN for Computer Vision with Keras and TensorFlow in Python by Start-Tech Academy Udemy Course
Python for Computer Vision & Image Recognition – Deep Learning Convolutional Neural Network (CNN) – Keras & TensorFlow 2
At the time of writing this article, over 41885+ individuals have taken this course and left 338+ reviews.
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3. Image Recognition for Beginners using CNN in R Studio by Start-Tech Academy Udemy Course
Deep Learning based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio
At the time of writing this article, over 40513+ individuals have taken this course and left 113+ reviews.
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4. Convolutional Neural Networks: Zero to Full Real-World Apps by Mauricio Maroto Udemy Course
The BEST Resource for Creating your own Convolutional Neural Networks Applications
At the time of writing this article, over 1023+ individuals have taken this course and left 108+ reviews.
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5. Deep Learning : Computer Vision Beginner to Advanced Pytorch by Manifold AI Learning ® Udemy Course
Go Beginner to Pro in Computer Vision in Pytorch / Python with Expert Tips Convolutional Neural Network Deep Learning
At the time of writing this article, over 7802+ individuals have taken this course and left 102+ reviews.
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6. Modern Deep Convolutional Neural Networks with PyTorch by Denis Volkhonskiy Udemy Course
Image Recognition with Convolutional Neural Networks. Advanced techniques for Deep Learning and Representation learning
At the time of writing this article, over 4801+ individuals have taken this course and left 57+ reviews.
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7. Deep Learning: CNNs for Visual Recognition by “Skillbox, LLC” Udemy Course
Learn Convolutional Neural Networks for Visual Recognition and the building blocks and methods associated with them.
At the time of writing this article, over 191+ individuals have taken this course and left 30+ reviews.
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8. Deep Learning : Plunge into Deep Learning by Muni Kumar Gopu V R Udemy Course
Learn to create Deep Learning models starting from basics
At the time of writing this article, over 2297+ individuals have taken this course and left 22+ reviews.
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9. Convolutional Neural Networks for Medical Images Diagnosis by Hussein Samma Udemy Course
“CNN, Deep Learning, Medical Imaging, Transfer Learning, CNN Visualization, VGG, ResNet, Inception, Python & Keras”
At the time of writing this article, over 54+ individuals have taken this course and left 12+ reviews.
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10. “News classification using CNN, Keras and word embeddings” by Evergreen Technologies Udemy Course
“Learn how to classify news using deep learning, python and keras”
At the time of writing this article, over 18+ individuals have taken this course and left 5+ reviews.
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