Convolutional Neural Networks (CNN) Courses and Certifications

Convolutional Neural Networks

8 ratings

Explore computer vision applications, build CNNs, and apply them to visual tasks. Learn advanced techniques like residual networks and neural style transfer for image and video processing.

• Coursera
• 1 day 11 hours 43 minutes
• Self-Paced
• Paid Course

Convolutional Neural Networks in Python: CNN Computer Vision

1459 ratings at Udemy

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

• Udemy
• 7 hours 47 minutes
• Self-Paced
• Paid Course

Convolutional Neural Networks in TensorFlow

8223 ratings at Coursera

Explore advanced ConvNet techniques for image classification, including data augmentation, transfer learning, and multiclass categorization using TensorFlow's high-level APIs.

• Coursera
• 16 hours 17 minutes
• Self-Paced
• Paid Course

Deep Learning: Convolutional Neural Networks in Python

6846 ratings at Udemy

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

• Udemy
• 13 hours 54 minutes
• Self-Paced
• Paid Course

Coursera

Visualizing Filters of a CNN using TensorFlow

84 ratings at Coursera

Explore CNN filter visualization using TensorFlow and VGG16. Learn gradient ascent techniques to maximize filter activations and gain insights into neural network operations.

• Coursera
• 1 hour 20 minutes
• Self-Paced
• Paid Course

Coursera

CNNs with TensorFlow: Basics of Machine Learning

Learn to build and analyze neural networks for image classification using TensorFlow. Design, implement, and evaluate models for a retail marketing campaign, with applications in various fields.

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

Modern Deep Convolutional Neural Networks with PyTorch

144 ratings at Udemy

Image Recognition with Convolutional Neural Networks. Advanced techniques for Deep Learning and Representation learning

• Udemy
• 1 hour 55 minutes
• Self-Paced
• Free Online Course

Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners

Learn to build and implement Convolutional Neural Networks for image classification. Covers supervised learning, model training, neural networks, and includes hands-on coding examples using real-world datasets.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 21 hours
• Self-Paced
• Paid Course

Brandon Rohrer

How Convolutional Neural Networks Work

1 rating

Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Serrano.Academy

A Friendly Introduction to Convolutional Neural Networks and Image Recognition

Friendly explanation of image recognition using Convolutional Neural Networks, covering basics to advanced concepts. Suitable for beginners, with minimal math required.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, network architecture, and real-world applications like self-driving cars in this comprehensive lecture.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Brandon Rohrer

How Convolutional Neural Networks Work, in Depth

Comprehensive exploration of convolutional neural networks, covering their structure, operation, and training process, including key concepts like filtering, pooling, and backpropagation.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video