Abstract: Stochastic gradient descent and other adaptive optimization methods have been proved effective for training deep neural networks. Within each epoch of these methods, the whole training set ...

Abstract: One kind of Deep Learning models ... the process of training. To solve the problem above and make improvements, this paper presents a model of convolutional neural network based on principal ...

Convolutional neural networks are deep learning models used to perform different tasks to be performed, they are mostly known for image classifications ... of these layers are not updated during the ...

This model has been ... the transfer learning process, a folder named training_dataset needs to be created in the root of the project folder. This folder will contain the image data sets for all the ...

An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works ... operations reduces the memory footprint during training.