Yahoo India Web Search

Sign In

Search results

      • Simply put, it is a deep learning algorithm particularly adept at processing data with a grid-like topology, such as images. CNNs are distinguished by their unique use of convolutional layers, which apply filters to input data, effectively enabling the network to focus on and recognize spatial hierarchies in data.
      www.allaboutai.com/ai-glossary/ai-glossary-convolutional-neural-network-2/

      What Is a Convolutional Neural Network? - All About AI

  2. People also ask

  3. www.geeksforgeeks.org › introduction-convolutionIntroduction to Convolution Neural Network - GeeksforGeeks

    Sep 9, 2024 · 1: What is a Convolutional Neural Network (CNN)? A Convolutional Neural Network (CNN) is a type of deep learning neural network that is well-suited for image and video analysis. CNNs use a series of convolution and pooling layers to extract features from images and videos, and then use these features to classify or detect objects or scenes.

  4. www.ibm.com › topics › convolutional-neural-networksWhat are convolutional neural networks? - IBM

    Convolutional neural networks use three-dimensional data for image classification and object recognition tasks. Neural networks are a subset of machine learning, and they are at the heart of deep learning algorithms. They are comprised of node layers, containing an input layer, one or more hidden layers, and an output layer.

  5. www.datacamp.com › tutorial › introduction-toAn Introduction to Convolutional Neural Networks (CNNs)

    Nov 14, 2023 · A Convolutional Neural Network (CNN), also known as ConvNet, is a specialized type of deep learning algorithm mainly designed for tasks that necessitate object recognition, including image classification, detection, and segmentation.

    • What is a neural network (CNN)?1
    • What is a neural network (CNN)?2
    • What is a neural network (CNN)?3
    • What is a neural network (CNN)?4
    • What is a neural network (CNN)?5

  6. Videos

    View all

  7. www.geeksforgeeks.org › convolutional-neuralConvolutional Neural Network (CNN) in Machine Learning

    Mar 13, 2024 · A Convolutional Neural Network (CNN) is a type of deep learning algorithm that is particularly well-suited for image recognition and processing tasks. It is made up of multiple layers, including convolutional layers, pooling layers, and fully connected layers.

    • 20 min

  8. www.freecodecamp.org › news › convolutional-neuralWhat Is a Convolutional Neural Network? A Beginner's Tutorial ...

    Feb 4, 2021 · CNNs work by applying filters to your input data. What makes them so special is that CNNs are able to tune the filters as training happens. That way the results are fine-tuned in real time, even when you have huge data sets, like with images.

  9. en.wikipedia.org › wiki › Convolutional_neural_networkConvolutional neural network - Wikipedia

    A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [ 1 ]

  10. towardsdatascience.com › a-comprehensive-guide-toA Comprehensive Guide to Convolutional Neural Networks — the ...

    Dec 15, 2018 · A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image, and be able to differentiate one from the other. The pre-processing required in a ConvNet is much lower as compared to other classification algorithms.