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所在平台: Udemy |
课程主页: https://www.udemy.com/course/transformers-from-scratch-core-of-gpt-google-translate/
课程评论：没有评论
课程名称：深度学习：从零开始构建文本生成模型 课程概述：在本课程中，您将学习如何从头开始构建变换器（Transformers），这种模型驱动着ChatGPT、Claude、谷歌翻译等多个强大应用。变换器是许多高效AI应用的核心，理解它们的工作原理将帮助您构建自己的语言模型或文本生成AI应用。课程将逐步指导您，让您轻松理解这些模型的功能。 您将从基础知识开始，包括变换器堆栈背后的数学原理，并学习如何创建变换器的构建模块。课程将涵盖关键概念，如注意力机制、标记化及模型训练。无需提前具备深度学习经验，因为课程会以简单的方式逐步解释一切。 到课程结束时，您将具备从零开始创建您自己的变换器模型的技能，而无需依赖预构建的库。无论您是对深度学习感兴趣的初学者，还是希望加深理解，这门课程将为您提供实践经验，帮助您掌握现代深度学习中最重要的模型之一。让我们开始，从零开始构建吧！
In this course, you will learn how to build Transformers from scratch, the same model that powers ChatGPT, Claude, Google Translate, and more. Transformers are the core of many powerful AI applications, and understanding how they work can help you build your own language models or text-generative AI applications. I will guide you through each step, making it easy to understand how these models function.You will start with the basics, including the math behind Transformer stacks, and learn how to create the building blocks of a Transformer. I will cover key concepts like attention mechanisms, tokenization, and model training. No prior deep learning experience is needed, as I will explain everything in simple terms, step by step. By the end of the course, you will have the skills to create your own Transformer model from the ground up, without relying on pre-built libraries.This course is perfect for anyone interested in deep learning and curious about the technology behind tools like GPT and Google Translate. Whether you're a beginner or looking to deepen your understanding, this course will give you a hands-on approach to building one of the most important models in modern deep learning. Let's get started and learn how to build them from scratch!
