10 Best Convolutional Neural Networks Udemy Courses and Certifications Online 2023

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There are countless online Udemy Courses and classes that will help you enhance your Convolutional Neural Networks skills and earn your Convolutional Neural Networks certificate.

In this post, our experts have assembled a curated list of the 10 Best of the Best Convolutional Neural Networks Udemy Courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included just those Udemy Courses that meet our top quality requirements. We have actually put a great deal of time and effort into collecting these all for you. These Udemy Courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these Udemy Courses and what they have to offer for you!

10 Best Convolutional Neural Networks Udemy Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Convolutional Neural Networks in Python: CNN Computer Vision Our Best Pick	117856+	1123+
2. Image Recognition for Beginners using CNN in R Studio	78423+	256+
3. Deep Learning: Convolutional Neural Networks in Python	31700+	4622+
4. Deep Learning with Keras and Tensorflow in R	5169+	13+
5. Deep Learning : Plunge into Deep Learning	2333+	27+
6. Convolutional Neural Networks with TensorFlow in Python	1452+	161+
7. Convolutional Neural Networks for Medical Images Diagnosis	452+	119+
8. Convolutional Neural Networks for Image Classification	408+	45+
9. Deep Learning: CNNs for Visual Recognition	200+	33+
10. Convolutional Neural Networks with Pytorch	62+	12+

1. Convolutional Neural Networks in Python: CNN Computer Vision by Start-Tech Academy Udemy Course Our Best Pick

Python for Computer Vision & Image Recognition – Deep Learning Convolutional Neural Network (CNN) – Keras & TensorFlow 2

As of right now, more than 117856+ people have enrolled in this course and there are over 1123+ reviews.

Course Content

Introduction
Setting up Python and Jupyter Notebook
Single Cells – Perceptron and Sigmoid Neuron
Neural Networks – Stacking cells to create network
Important concepts: Common Interview questions
Standard Model Parameters
Tensorflow and Keras
Python – Dataset for classification problem
Python – Building and training the Model
Python – Solving a Regression problem using ANN
Complex ANN Architectures using Functional API
Saving and Restoring Models
Hyperparameter Tuning
CNN – Basics
Creating CNN model in Python
Analyzing impact of Pooling layer
Project : Creating CNN model from scratch
Project : Data Augmentation for avoiding overfitting
Transfer Learning : Basics
Transfer Learning in Python
Congratulations & about your certificate

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2. 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

As of right now, more than 78423+ people have enrolled in this course and there are over 256+ reviews.

Course Content

Introduction
Setting Up R Studio and R crash course
Single Cells – Perceptron and Sigmoid Neuron
Neural Networks – Stacking cells to create network
Important concepts: Common Interview questions
Standard Model Parameters
Tensorflow and Keras
R – Dataset for classification problem
R – Building and training the Model
The NeuralNets Package
R – Complex ANN Architectures using Functional API
Saving and Restoring Models
Hyperparameter Tuning
CNN – Basics
Creating CNN model in R
Analyzing impact of Pooling layer
Project : Creating CNN model from scratch
Project : Data Augmentation for avoiding overfitting
Transfer Learning : Basics
Transfer Learning in R
Congratulations & about your certificate

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3. Deep Learning: Convolutional Neural Networks in Python by Lazy Programmer Inc. Udemy Course

“Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning”

As of right now, more than 31700+ people have enrolled in this course and there are over 4622+ reviews.

Course Content

Welcome
Google Colab
Machine Learning and Neurons
Feedforward Artificial Neural Networks
Convolutional Neural Networks
Natural Language Processing (NLP)
Convolution In-Depth
Convolutional Neural Network Description
Practical Tips
In-Depth: Loss Functions
In-Depth: Gradient Descent
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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4. Deep Learning with Keras and Tensorflow in R by Bogdan Anastasiei Udemy Course

“Learn to use convolutional neural networks for image recognition, character recognition and accurate predictions.”

As of right now, more than 5169+ people have enrolled in this course and there are over 13+ reviews.

Course Content

Getting Started
Basic Notions
Building Classification Models with CNNS
Recognizing Human Faces From Trees
Recognizing Animals
Telling Asterisks From Hashtags
Recognizing Hand-Written Numbers
Practice
Useful Links

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5. Deep Learning : Plunge into Deep Learning by Muni Kumar Gopu V R Udemy Course

Learn to create Deep Learning models starting from basics

As of right now, more than 2333+ people have enrolled in this course and there are over 27+ reviews.

Course Content

Introduction
Fundamentals
Neural Networks
Training Neural Networks
Convolution Neural Networks
Sequence Models

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6. Convolutional Neural Networks with TensorFlow in Python by 365 Careers Udemy Course

Advanced neural networks: Master Computer Vision with Convolutional Neural Networks (CNN) and Deep Learning

As of right now, more than 1452+ people have enrolled in this course and there are over 161+ reviews.

Course Content

Introduction to the course
Kernels
CNN Introduction
Neural networks techniques (revision)
Setting up the environment
CNN assembling – MNIST
Tensorboard: Visualization tool for TensorFlow
Common techniques for better performance of NN
A practical project: Labelling fashion items
Understanding CNNs
Popular CNN architectures

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7. 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”

As of right now, more than 452+ people have enrolled in this course and there are over 119+ reviews.

Course Content

Introduction
Getting and Preparing Data
CNN Architecture
CNN Training
CNN Evaluation
CNN Improvement
CNN Transfer Learning
CNN Visualization
CNN Deployment

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8. Convolutional Neural Networks for Image Classification by Valentyn Sichkar Udemy Course

“Design your own deep CNN for accurate image recognition, train and test in Real Time by camera”

As of right now, more than 408+ people have enrolled in this course and there are over 45+ reviews.

Course Content

Welcome
Assemble custom dataset for Image Classification
Modify existing dataset of Traffic Signs for Classification
Apply preprocessing techniques for datasets before training
Design deep CNNs architectures for efficient Classification
Train and Test designed CNNs models
Practice Test
Generate synthetic data to augment datasets
How does it work?

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9. 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.

As of right now, more than 200+ people have enrolled in this course and there are over 33+ reviews.

Course Content

Welcome
Convolutional Neural Networks
CNN Applications
Visualizations
Image Enhancement
Course Summary

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10. Convolutional Neural Networks with Pytorch by Leo Bravo Udemy Course

Learn how to implement a Convolutional Neural Network using Pytorch

As of right now, more than 62+ people have enrolled in this course and there are over 12+ reviews.

Course Content

What is a Convolutional Neural Network?
Convolutional Neural Networks with Pytorch

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Here are some frequently asked questions about learning Convolutional Neural Networks

How Long Does It Take to Learn Convolutional Neural Networks?

The answer to the question “How long does it ttake to learn Convolutional Neural Networks” is … it depends. Everybody has different needs, and everyone is working in different circumstances, so the answer for someone might be completely different than for another person.

Think about these questions: What are you attempting to Learn Convolutional Neural Networks for? Where is your starting point? Are you a newbie or do you have experience with Convolutional Neural Networks? How much can you practice? 1 hour per day? 40 hours weekly? Take a look at this course about Convolutional Neural Networks.

Is Convolutional Neural Networks Easy Or Hard to Learn?

No, learning Convolutional Neural Networks isn’t hard for many people. Check this course on how to Learn Convolutional Neural Networks in no time!

How to Learn Convolutional Neural Networks Fast?

The fastest way to Learn Convolutional Neural Networks is to first get this Convolutional Neural Networks course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is essential.

Where to Learn Convolutional Neural Networks?

If you want to explore and learn Convolutional Neural Networks, then Udemy offers you the best platform to learn the Convolutional Neural Networks. Check this course on how to Learn Convolutional Neural Networks in no time!

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