Tensor Machine Learning
Tensor Machine Learning refers to a concept of using a multi-dimensional array when learning from big data in a specific way. More general information about a tensor can be found in our article What...
Tensor Machine Learning refers to a concept of using a multi-dimensional array when learning from big data in a specific way. More general information about a tensor can be found in our article What...
AlexNet is considered as a standard architecture for a Convolutional Neural Network that is able to learn from big data. It is a relatively large CNN model with five convolution layers and three fully...
What is deep learning refers to one of the most interesting questions asked today. The term Deep Learning is a new approach in machine learning that particularly benefits from big data. It can be...
A Convolutional Neural Network (CNN), also often called ConvNets, is a machine learning model that belongs to the field of deep learning. It works particularly well for big data especially for a large set...