Convolutional Neural Networks (CNN) Courses and Certifications

Career Certificate

DeepLearning.AI TensorFlow Developer

25404 ratings at Coursera

Build and train deep learning models in TensorFlow, from convolutional networks for image classification to natural language processing and sequence and time series prediction.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Introduction to Convolutional Neural Networks - Part I - Lecture 8

1 rating

An introduction to convolutional neural networks, including their architecture, AlexNet, and applications such as super resolution.

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

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

19744 ratings at Coursera

Build and train neural networks with TensorFlow, solving computer vision problems in a few lines of code, then improve them with convolutions and larger, complex images.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Computer Vision Architecture Evolution: ConvNets to Transformers - Lecture 21

Explore how ConvNeXt modernizes ResNet with design ideas from Swin Transformers, including patchified stems, larger kernels, GELU, and revised normalization.

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

rupert ai

Implementing a Multi-Class CNN Image Classifier in Pytorch - Computer Vision Basics Ep. 3 CIFAR10 CNN

Builds a basic convolutional neural network in PyTorch to classify CIFAR-10 images, covering architecture, training, and validation.

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

Prodramp

Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer

Explains handwritten-digit recognition with a simple Keras CNN, using CNN Explainer to clarify data preparation, architecture, training, and evaluation.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Convolution in Two Dimensions

Build a 2D convolutional neural network from setup through training, testing, and visualizing successes and failures on MNIST and Cottonwood examples.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Intro to TensorFlow for Deep Learning

48 ratings at Udacity

Developed by Google and Udacity, this course teaches a practical approach to deep learning for software developers.

• Udacity
• 17 hours
• Self-Paced
• Free Online Course

Deep Learning with PyTorch

12 ratings at DataCamp

Learn to create deep learning models with the PyTorch library.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Image Processing in Python

Much of the data in the world are formatted as images.

• DataCamp
• 12 hours
• Self-Paced
• Free Trial Available

Keras Fundamentals

In this track, you'll expand your deep learning knowledge and take your machine learning skills to the next level.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Сверточные нейронные сети

Практический курс по созданию сверточных сетей для распознавания изображений, обнаружения объектов и нейронной передачи стиля.

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

컨볼루션 신경망

컨볼루션 신경망을 구축하고 이미지 분류·객체 감지·얼굴 인식과 Neural Style Transfer에 적용합니다.

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

Réseaux neuronaux convolutifs

Apprenez à concevoir des réseaux neuronaux convolutifs pour la classification d’images, la détection d’objets, la reconnaissance faciale et le transfert de style neuronal.

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

الشبكات العصبونية الالتفافية

تعلّم بناء الشبكات العصبونية الالتفافية وتطبيقها في الكشف عن الكائنات والتعرّف على الوجوه ونقل النمط العصبي.

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