Convolutional Neural Networks (CNN) Courses and Certifications

Coursera

Facial Expression Recognition with PyTorch

60 ratings at Coursera

Learn to classify facial expressions using PyTorch, including data augmentation, training loop creation, and model application on input images.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

Learning Deep Learning: Unit 1

1 rating

Discover neural networks, backpropagation, and modern frameworks like TensorFlow through hands-on programming exercises covering deep learning fundamentals and advanced techniques.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Explainable AI: Scene Classification and GradCam Visualization

59 ratings at Coursera

Train a deep learning model for scene classification and use Grad-Cam to visualize how AI models interpret images, with practical applications in satellite imagery analysis.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Practical AI with Python and Reinforcement Learning

1285 ratings at Udemy

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

• Udemy
• 1 day 2 hours 25 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : Object Localization

49 ratings at Coursera

Learn to implement object localization using PyTorch, including dataset preparation, augmentation, and training a CNN to detect and locate objects in images.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Deep Learning with Python: CNN, ANN & RNN

47 ratings at Coursera

Master CNNs, ANNs, and RNNs through hands-on projects in image recognition, churn prediction, and stock forecasting using TensorFlow and Keras for real-world AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Data Analytics and Deep Learning

41 ratings at Coursera

Master data preprocessing, big data technologies, and deep learning models with hands-on experience in neural networks and predictive analytics using industry-relevant tools.

• Coursera
• 24 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Edureka

Machine Learning and NLP Basics

33 ratings at Coursera

Comprehensive exploration of machine learning, deep learning, and NLP fundamentals. Covers core concepts, algorithms, and practical applications, equipping learners with essential skills for AI and data science.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Coursera

Aerial Image Segmentation with PyTorch

32 ratings at Coursera

Learn to segment aerial images using PyTorch, including dataset preparation, augmentation, model training with UNet, and inference on the Massachusetts Roads dataset.

• Coursera
• 2 hours 4 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement GradCAM for CNN visualization, creating custom datasets, architectures, and functions. Learn to generate and plot heatmaps for localization in image classification tasks.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

MathWorks

Introduction to Deep Learning for Computer Vision

19 ratings at Coursera

Learn to train and evaluate deep learning models for image classification, from medical analysis to traffic sign recognition, using hands-on projects and MATLAB software.

• Coursera
• 8 hours 42 minutes
• Self-Paced
• Paid Course

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Dive into CNN development with Python to design, build, train and evaluate deep learning models for image classification through hands-on projects and real-world applications.

• Coursera
• 5 hours 37 minutes
• Self-Paced
• Paid Course

PyTorch: Advanced Architectures and Deployment

17 ratings at Coursera

Master sophisticated PyTorch architectures from Siamese Networks to Transformers, plus deployment techniques including ONNX, pruning, and quantization for real-world applications.

• Coursera
• 1 day 6 hours 40 minutes
• Self-Paced
• Paid Course

Advanced AI Techniques for the Supply Chain

15 ratings at Coursera

Explore advanced ML techniques for supply chain optimization, including neural networks for demand prediction and image classification for quality control.

• Coursera
• 22 hours 9 minutes
• Self-Paced
• Paid Course

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

14 ratings at Coursera

Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.

• Coursera
• 21 hours 54 minutes
• Self-Paced
• Paid Course