In recent years, the transformer model has become one of the main highlights of advances in deep learning and deep neural networks. It is mainly used for advanced applications in natural language ...

Now, utilizing advances in deep learning for natural language modeling, Microsoft has announced a first in programming language modeling. "We have been working tirelessly to enable IntelliCode for ...

Deep tech; Understanding Transformers, the machine learning model behind GPT-3 How this novel neural network architecture changes the way we analyze complex data types ...

This article describes how to fine-tune a pretrained Transformer Architecture ... the pretrained language model you can add specific problem domain expertise. As recently as a few years ago, most of ...

model selection, and evaluation. It can also be used for deep learning tasks. Microsoft Cognitive Toolkit (CNTK) is another popular Python library for deep learning. It provides a flexible ...

In this paper, we propose a transformer-based MRC-TransUNet framework, which effectively combines the advantages of transformer as well as CNN, reduces the number of parameters of traditional ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning ... Python way of calling the constructor: model = FirstNet(image ...