Convolutional Neural Networks (CNN) Courses and Certifications

fast.ai

Practical Deep Learning For Coders

7 ratings

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• Self-Paced
• Free Online Course

Introduction to Deep Learning

18 ratings at Coursera

Build neural networks from first principles: derive forward passes and backpropagation, train and regularize deep models, design CNNs, and apply RNNs, LSTMs, attention, transformers, and CLIP.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Computer Vision Fundamentals with Google Cloud

549 ratings at Coursera

Build image classification models: start with pre-built ML APIs and AutoML Vision on Vertex AI, then train custom linear, DNN, and CNN models using augmentation and fine-tuning.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

7135 ratings at Udemy

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

• Udemy
• 17 hours 10 minutes
• Self-Paced
• Paid Course

PyTorch for Deep Learning with Python Bootcamp

5562 ratings at Udemy

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

• Udemy
• 17 hours 1 minute
• Self-Paced
• Paid Course

The Complete Self-Driving Car Course - Applied Deep Learning

4315 ratings at Udemy

Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python

• Udemy
• 18 hours 4 minutes
• Self-Paced
• Paid Course

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

2319 ratings at Udemy

2020 Update with TensorFlow 2.0 Support. Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects

• Udemy
• 14 hours 43 minutes
• Self-Paced
• Paid Course

Deep Learning Applications for Computer Vision

90 ratings at Coursera

Compare classic and deep learning computer vision: apply convolution and linear filters, build image classification pipelines, and train neural networks and CNNs in TensorFlow.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Master Computer Vision™ OpenCV4 in Python with Deep Learning

3657 ratings at Udemy

Master OpenCV4 like a pro while learning Dlib, Deep Learning Computer Vision (Keras, TensorFlow & Caffe) + 21 Projects!

• Udemy
• 10 hours 45 minutes
• Self-Paced
• Paid Course

Deep Learning with Python and Keras

3409 ratings at Udemy

Understand and build Deep Learning models for images, text and more using Python and Keras

• Udemy
• 9 hours 57 minutes
• Self-Paced
• Paid Course

The Complete Neural Networks Bootcamp: Theory, Applications

3091 ratings at Udemy

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

• Udemy
• 1 day 19 hours 47 minutes
• Self-Paced
• Paid Course

Deep Learning for Computer Vision

26 ratings at Coursera

Build deep learning models for visual tasks: multilayer perceptrons, normalization, autoencoders, GANs, convolutional networks, and ResNet and U-Net for segmentation.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Modern Natural Language Processing in Python

2220 ratings at Udemy

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

PyTorch for Deep Learning and Computer Vision

2235 ratings at Udemy

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

• Udemy
• 14 hours 14 minutes
• Self-Paced
• Paid Course

Edge Impulse

Computer Vision with Embedded Machine Learning

168 ratings at Coursera

Train convolutional neural networks to classify images and detect objects, then deploy them to microcontrollers and single board computers using Edge Impulse.

• Coursera
• 3 weeks, 10 hours a week
• Self-Paced
• Paid Course