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  1. www.researchgate.net › publication › 337401161(PDF) Fundamental Concepts of Convolutional Neural Network -...

    1 Ιαν 2020 · Convolutional neural network (or CNN) is a special type of multilayer neural network or deep learning architecture inspired by the visual system of living beings. The CNN is very much...

  2. arxiv.org › pdf › 1511An Introduction to Convolutional Neural Networks - arXiv.org

    Convolutional Neural Networks (CNNs) are analogous to traditional ANNs in that they are comprised of neurons that self-optimise through learning. Each neuron will still receive an input and perform a operation (such as a scalar product followed by a non-linear function) - the basis of countless ANNs. From

  3. www.researchgate.net › publication › 357820593_Convolutional_Neural_Networks(PDF) Convolutional Neural Networks - ResearchGate

    14 Ιαν 2022 · PDF | We provide the fundamentals of convolutional neural networks (CNNs) and include several examples using the Keras library.

  4. www.researchgate.net › publication › 333242381_Convolutional_Neural_Network_Layers(PDF) Convolutional Neural Network Layers and Architectures -...

    1 Ιαν 2019 · Deep learning, particularly convolutional neural networks (CNNs), have yielded rapid, significant improvements in computer vision and related domains.

  5. github.com › PacktPublishing › Practical-Convolutional-Neural-NetworksPractical Convolutional Neural Networks - GitHub

    Download a free PDF. If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to download a free PDF copy of this book. https://packt.link/free-ebook/9781788392303.

  6. www.semanticscholar.org › paper › An-Introduction-to-Convolutional-Neural-Networks[PDF] An Introduction to Convolutional Neural Networks - Semantic...

    The structure and function of Convolutional Neural Networks are explored, with the introduction of the back-propagation algorithm, and how to apply convolutional neural networks in the application of face recognition is introduced.

  7. www.semanticscholar.org › paper › Convolutional-Neural-Networks-Skansi[PDF] Convolutional Neural Networks | Semantic Scholar

    Computer Science, Mathematics. This chapter introduces the first deep learning architecture of the book, convolutional neural networks. It starts with redefining the way a logistic regression accepts data, and defines 1D and 2D convolutional layers as a natural extension of the logistic regression. The chapter also details on how to connect the ...