Convolutional Neural Networks courses 37

DeepLearning.AI

Convolutional Neural Networks

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional ne…

Great Learning

Convolutional Neural Networks

Machine learning and deep neural networks are of increasing interest to engineers. The current research trend is to use convolutional neural networks (CNNs) to produce state-of-the-art results in various application areas. CNN’s have been around for a while, but they’ve only recently become popular…

University of Pennsylvania

Robotics: Vision Intelligence and Machine Learning

Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.

DeepLearning.AI

Convolutional Neural Networks in TensorFlow

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source…

IBM

Convolutional Neural Networks with PyTorch

Covers Artificial Intelligence, Python, PyTorch.

IBM

Deep Learning with TensorFlow and Keras

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.

Duke University

Introduction to Machine Learning

This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image…

IBM

Using GPUs to Scale and Speed-up Deep Learning

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

Harvard University

CS50's Fundamentals of AI - Lecture 3 - Sensing (live, unedited)

Exploring how AI can interpret sensory data like images and sounds: edge detection, convolutional neural networks, deep learning. Registration (and assignments) for this course won't be available on edX until later this year, so watching now offers a preview. Unlike CS50 AI, which assume a programm…

IBM

Medical image segmentation with PyTorch and U-Net

A short hands-on project: Computer Vision, Convolutional Neural Network, Deep Learning.

IBM

Deep Learning with Python and PyTorch.

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

MITx

Deep Learning and Generative Models: Neural Network Architectures

Learn how neural network architectures handle different types of data and how to evaluate their performance. Part three in a five-part series, this online course in the Deep Learning and Generative Models program covers convolutional neural networks, transformers, graph neural networks, and the geo…

Tech With Tim

Python Machine Learning Tutorials

This series starts out teaching basic machine learning concepts like linear regression and k-nearest neighbors and moves into more advanced topics like neural networks and convolution neural networks.

freeCodeCamp

VGG From Scratch – Deep Learning Theory & PyTorch Implementation (Full Course)

This course is a hands-on deep learning tutorial that will help you understand one of the most influential convolutional neural networks in computer vision. You will learn to rebuild the VGG architecture from the ground up while mastering the theory, mathematics, and design principles that shaped i…

Johns Hopkins University

Mastering Neural Networks and Model Regularization

The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with real…

freeCodeCamp

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

Learn about Convolutional Neural Networks in this full course for beginners. These are a class of deep learning neural networks that are particularly effective for classifying images. CNNs are also used for other applications such as natural language processing and time series forecasting, but they…

Google Cloud

Computer Vision Fundamentals with Google Cloud

Computer Vision Fundamentals with Google Cloud Discover how to solve real-world computer vision challenges on Google Cloud using a range of ML approaches, from pre-built APIs to custom image-built classifiers.

Sentdex

Using Convolutional Neural Network to Identify Dogs vs Cats

RWTH Aachen University

Deep Learning

"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and giv…

DeepLearning.AI

DeepLearning.AI TensorFlow Developer

Learn to build AI apps with Tensorflow