Apache Mxnet 简明教程
Apache MXNet Tutorial
Apache MXNet 是一款功能强大的开源深度学习软件框架工具,旨在帮助开发人员构建、训练和部署深度学习模型。在过去的几年里,从医疗保健到交通再到制造业,事实上,在我们的日常生活各个方面,深度学习的影响都已得到广泛普及。如今,深度学习被公司用于解决一些难题,如人脸识别、物体检测、光学字符识别 (OCR)、语音识别和机器翻译。
Apache MXNet is a powerful open-source deep learning software framework instrument helping developers build, train, and deploy Deep Learning models. Past few years, from healthcare to transportation to manufacturing and, in fact, in every aspect of our daily life, the impact of deep learning has been widespread. Nowadays, deep learning is sought by companies to solve some hard problems like Face recognition, object detection, Optical Character Recognition (OCR), Speech Recognition, and Machine Translation.
Audience
本教程对毕业生、研究生和研究者非常管用,他们对人工智能、机器学习和深度学习感兴趣或将其作为课程的一部分。读者可以是初学者或高级学习者。
This tutorial will be useful for graduates, post-graduates, and research students who either have an interest in the field of AI, Machine Learning and Deep Learning or have it as a part of their curriculum. The reader can be a beginner or an advanced learner.
Prerequisites
读者必须具有关于人工智能的基本知识。他们还应该了解 Python 语言及其功能。如果你对其中任何一个概念都不了解,我们建议你在深入学习本教程之前学习这些概念的教程。
The reader must have basic knowledge about Artificial Intelligence. He/she should also be aware about Python language and its functions. If you are new to any of these concepts, we recommend you take up tutorials concerning these topics before you dig further into this tutorial.