Transformers for Machine Learning 出版社:Chapman and Hall/CRC 副标题:A Deep Dive 出版年:2022-5 页数:284 装帧:Paperback ISBN:9780367767341 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Transformers are becoming a core part of many neural network architecture...
Leveraging Machine Learning, Transformers, and Large-Scale Chemical Data to Predict TGF-β1 Inhibitors for Cardiac Fibrosis Treatment Fibrotic diseases are dangerous conditions that cause the deaths of more than 800,000 people each year. One very prevalent type of fibrotic disease is card... Aiden...
关于Transformer的综合性书籍,市面上确实存在多本优秀的著作,它们从多个角度深入剖析了Transformer模型及其在不同领域的应用。以下是一些值得推荐的Transformer综合性书籍: 1. 《Transformers for Machine Learning》 内容概述:该书涵盖了60多个Transformer架构和对应的知识及技巧,涉及语音、文本、时间序列和计算机视觉等多个方...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - Wcl-China/transformers
01 书籍介绍 Transformer已成为许多神经网络架构的核心部分，在自然语言处理、语音识别、时间序列和计算机视觉等广泛应用中得到了应用。Transformer经历了许多的改进和变化，从而衍生出了新的技术和方法。《Transformers for Machine Learning: A Deep Dive》是第一本全面介绍Transformer的专业书籍。主要特点：· 详细解释了...
>>> from transformers import pipeline >>> prompt = "Hugging Face is a community-based open-source platform for machine learning." >>> generator = pipeline(task="text-generation") >>> generator(prompt) # doctest: +SKIP 掩码:模型的目标是在完全访问序列中的标记的情况下预测序列中的掩码标记 代...
Machine Learning for Beginners_ A Math Guide to Mastering Deep Learning and Business Application 星级: 49 页 Deep Machine Learning: Learn Artificial Intelligence, Machine Algorithms using Advanced Deep Machine Learning 星级: 159 页 From machine learning to deep learning progress in machine intelli...
For generic machine learning loops, you should use another library. While we strive to present as many use cases as possible, the scripts in our examples folder are just that: examples. It is expected that they won't work out-of-the box on your specific problem and that you will be ...
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction...
English|简体中文|繁體中文|한국어|Español State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. ...