深度神經網絡課程總結

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.

即使您是神經網絡的新手，Brandon Rohrer的本課程也會使您熟悉其背后的概念和數學。

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.

神經網絡是我們今天所謂的人工智能的核心。 如果您是第一次嘗試理解它們，它們似乎是不可滲透的，甚至是神秘的，但它們并非必須如此。

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

以下是您將在本課程中學習的主題：

• How neural networks work
  神經網絡如何工作
• What neural networks can learn and how they learn it
  神經網絡可以學習什么以及如何學習
• How convolutional neural networks (CNNs) work
  卷積神經網絡(CNN)的工作方式
• How recurrent neural networks (RNNs) and long-short-term memory (LSTM) work
  遞歸神經網絡(RNN)和長期短期記憶(LSTM)如何工作
• Deep learning demystified
  深度學習揭秘
• Getting closer to human intelligence through robotics
  通過機器人技術接近人類智能
• 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頻道上觀看完整的視頻課程(觀看4小時)。

翻譯自: https://www.freecodecamp.org/news/how-deep-neural-networks-work/

深度神經網絡課程總結