Demonstration of how convolutional neural networks (CNNs) work for pattern recognition #science
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Demonstration of how convolutional neural networks (CNNs) work for pattern recognition #science
Convolutional Neural Networks (CNNs) are a class of deep neural networks that are used for image processing and classification. They consist of several layers, each performing a specific operation. The first layer in a convolutional network is the convolution layer. It performs image convolution with a filter of a certain size. The filter, also ...
1.2K viewsMay 1, 2023
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Membalas @codingaddicts Convolutional Neural Network (CNN) ditemukan oleh Yann LeCun pada akhir 1980-an. Ia mengembangkan arsitektur CNN untuk memproses data berbentuk grid seperti gambar, menggunakan operasi konvolusi yang dapat mendeteksi fitur penting seperti tepi dan bentuk dalam gambar. Salah satu pencapaiannya adalah LeNet-5 pada tahun 1998, yang digunakan untuk mengenali tulisan tangan, terutama angka pada kode pos. CNN ini membantu dalam pengenalan pola secara otomatis dengan hasil yang
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Membalas @codingaddicts Convolutional Neural Network (CNN) ditemukan
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