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Deep convolutional neural network

Deep convolutional neural network D6e0j

AleXNet is a deep convolutional neural network that was trained on a large dataset(Image Net) to classify the 1. 2 million high-resolution images with 1000 different classes(Alex Krizhevsky and et al, 2017), in the current study, our data sets were employed on Alexnet by using transfer learning where consider transfer learning is an efficient and powerful solution for many classification problems. Training requires enough data and computer time, but much less than training from scratch (see Figure 2 for a comparison with pre-trained networks and training from scratch) (Bengio, 2012), and the result is a network specifically tailored to our objectives. It is beneficial that we use the pre-trained AlexNet architecture to build the network † where Figure 4 shows the AlexNet architecture.

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