从编解码和词嵌入开始，一步一步理解Transformer，注意力机制(Attention)的本质是卷积神经网络(CNN)

Title: Understanding Transformers Step by Step: From Encoding/Decoding to Word Embeddings, with a Focus on the Essence of Attention Mechanism as Convolutional Neural Networks (CNN)

Channel: 王木头学科学

Description: This video provides a detailed explanation of Transformers, starting from encoding/decoding to word embeddings. It delves into the essence of the attention mechanism, comparing it to Convolutional Neural Networks (CNN). If you are looking to grasp the fundamentals of Transformers and understand how attention mechanisms work in the context of neural networks, this tutorial will guide you through each step.

Tutorial:

1. Introduction to Transformers: The video begins by introducing Transformers and their significance in natural language processing tasks.

2. Encoding and Decoding in Transformers: Learn about the process of encoding and decoding within Transformers, which is crucial for understanding how information is processed.

3. Word Embeddings: Understand the concept of word embeddings, which play a vital role in representing words in a mathematical form that neural networks can work with.

4. Attention Mechanism: Dive deep into the attention mechanism, a key component of Transformers that allows the model to focus on specific parts of the input sequence.

5. Comparison with CNN: Explore how the attention mechanism in Transformers differs from Convolutional Neural Networks (CNN) and how they both contribute to the overall functionality of the model.

6. Step-by-Step Understanding: Follow along with the video as each concept is explained in a step-by-step manner, making it easier to grasp the complexities of Transformers and attention mechanisms.

7. Practical Applications: Gain insights into the practical applications of Transformers and how they are revolutionizing various fields such as natural language processing, machine translation, and more.

8. Summary and Conclusion: The tutorial wraps up by summarizing the key points discussed in the video and emphasizing the importance of understanding Transformers and attention mechanisms in neural networks.

By following this tutorial, you will be able to deepen your understanding of Transformers, from encoding/decoding to word embeddings, and gain valuable insights into the essence of attention mechanisms in neural networks.