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  1. www.upgrad.com › blog › basic-cnn-architectureBasic CNN Architecture: Explaining 5 Layers of ... - upGrad

    Jul 27, 2022 · Did you know that you can classify or analyze images within a few lines of code using CNN? Check out this article that explains the Convolutional Neural Network architecture explaining its 5 layers.

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

    Mar 14, 2024 · Convolutional Neural Network (CNN) is the extended version of artificial neural networks (ANN) which is predominantly used to extract the feature from the grid-like matrix dataset. For example visual datasets like images or videos where data patterns play an extensive role. CNN architecture

  3. www.geeksforgeeks.org › convolutional-neuralConvolutional Neural Network (CNN) Architectures - GeeksforGeeks

    Mar 21, 2023 · The First LeNet-5 architecture is the most widely known CNN architecture. It was introduced in 1998 and is widely used for handwritten method digit recognition. LeNet-5 has 2 convolutional and 3 full layers.

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

    A variety of pre-trained CNN architectures, including VGG-16, ResNet50, Inceptionv3, and EfficientNet, have demonstrated top-tier performance. These models can be adapted to new tasks with relatively little data through a process known as fine-tuning.

  5. theaisummer.com › cnn-architecturesBest deep CNN architectures and their principles: from ...

    Jan 21, 2021 · How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?

  6. journalofbigdata.springeropen.com › articles › 10Review of deep learning: concepts, CNN architectures ...

    Mar 31, 2021 · In this section, we review the most popular CNN architectures, beginning from the AlexNet model in 2012 and ending at the High-Resolution (HR) model in 2020. Studying these architectures features (such as input size, depth, and robustness) is the key to help researchers to choose the suitable architecture for the their target task.

  7. www.tensorflow.org › tutorials › imagesConvolutional Neural Network (CNN) | TensorFlow Core

    Mar 23, 2024 · Convolutional Neural Network (CNN) This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Because this tutorial uses the Keras Sequential API, creating and training your model will take just a few lines of code.