Pytorch custom CNN network realizes cat and dog classification - Code World

Pytorch custom CNN network realizes cat and dog classification

Mobile 2023-04-09 08:15:18 views: null

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Pytorch custom CNN network realizes cat and dog classification

Image classification - use pytorch to build an AlexNet network model to train your own data set (cat and dog classification)

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Cat and dog picture recognition (detailed convolutional neural network (CNN))

Cat and Dog Recognition Based on Convolutional Neural Network (CNN)

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Pytorch migration learning uses Resnet50 for model training to predict cat and dog classification

[Artificial Intelligence and Machine Learning] Cat and dog recognition based on convolutional neural network CNN

Deep learning practical basic case - Convolutional neural network (CNN) cat and dog recognition based on Xception | Case 2

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Keras deep learning uses Xception pre-trained neural network to realize cat and dog classification, and the accuracy of the test set is as high as 0.99

Python implements the convolutional neural network classification model (CNN classification algorithm) project based on PyTorch

Keras cat and dog image classification + visual feature map

Migration learning and fine-tuning for cat and dog classification

Classification of Fashion MNIST dataset based on Pytorch-CNN sliding product neural network

Cat and dog image recognition (convolutional neural network algorithm, TensorFlow installation)

[Image Classification] Realize the classification of the training set and test set of cat and dog pictures: python + Asirra

pytorch custom network layer

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Summary of classic image classification CNN network

AI: a cat or a dog, that is the question

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Re-using a classification CNN model for autoencoding - pytorch

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