HuggingFace-transformers系列的介绍以及在下游任务中的使用 (转载)
转载自 博客园，原作者：dxzmpk，原文发布于 2020-04-23。版权归原作者所有。
这篇博客主要面向对Bert系列在Pytorch上应用感兴趣的同学，将涵盖的主要内容是：Bert系列有关的论文，Huggingface的实现，以及如何在不同下游任务中使用预训练模型。
Creating a Neural Network and Making Predictions with Python's AI
If you’re new to the field of artificial intelligence (AI), Python is an excellent language to begin with because it serves as the foundation for many AI tools and libraries. Deep learning, a method for making predictions based on data, heavily depends on neural networks. This blog will show you through the process of constructing a neural network from the ground up.
In practical applications, rather than creating neural networks from scratch, you would typically utilize deep learning frameworks like TensorFlow or PyTorch. Nevertheless, understanding the inner workings of neural networks can be advantageous as it allows you to design more effective architectures for your deep learning models.