深度神经网络课程总结

Even if you are completely new to neural networks, this course from Brandon Rohrer will get you comfortable with the concepts and math behind them.

即使您是神经网络的新手，Brandon Rohrer的本课程也会使您熟悉其背后的概念和数学。

Neural networks are at the core of what we are calling Artificial Intelligence today. They can seem impenetrable, even mystical, if you are trying to understand them for the first time, but they don't have to.

神经网络是我们今天所谓的人工智能的核心。 如果您是第一次尝试理解它们，它们似乎是不可渗透的，甚至是神秘的，但它们并非必须如此。

Here are the topics you will learn about in this course:

以下是您将在本课程中学习的主题：

• How neural networks work
  神经网络如何工作
• What neural networks can learn and how they learn it
  神经网络可以学习什么以及如何学习
• How convolutional neural networks (CNNs) work
  卷积神经网络(CNN)的工作方式
• How recurrent neural networks (RNNs) and long-short-term memory (LSTM) work
  递归神经网络(RNN)和长期短期记忆(LSTM)如何工作
• Deep learning demystified
  深度学习揭秘
• Getting closer to human intelligence through robotics
  通过机器人技术接近人类智能
• How CNNs work, in depth
  CNN的工作原理

You can watch the full video course on the freeCodeCamp.org YouTube channel (4 hour watch).

您可以在freeCodeCamp.org YouTube频道上观看完整的视频课程(观看4小时)。

翻译自: https://www.freecodecamp.org/news/how-deep-neural-networks-work/

深度神经网络课程总结