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在 Google Cloud 控制台中运用您的技能

Shaikh M.Hassaan

成为会员时间:2024

黄金联赛

10600 积分
Skills Boost Arcade Trivia April 2025 Week 4 Earned Apr 24, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 3 Earned Apr 24, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 2 Earned Apr 24, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 1 Earned Apr 23, 2025 EDT
Skills Boost Arcade Certification Zone April 2025 Earned Apr 23, 2025 EDT
Google Cloud 云计算基础知识 Earned Apr 3, 2025 EDT
编码器-解码器架构 Earned Oct 29, 2024 EDT
创建图片标注模型 Earned Oct 29, 2024 EDT
Transformer 模型和 BERT 模型 Earned Oct 29, 2024 EDT
注意力机制 Earned Oct 29, 2024 EDT
大型语言模型简介 Earned Oct 29, 2024 EDT
图像生成简介 Earned Oct 29, 2024 EDT
Scaling with Google Cloud Operations Earned Oct 29, 2024 EDT
负责任的 AI 简介 Earned Oct 29, 2024 EDT
生成式 AI 简介 Earned Oct 29, 2024 EDT

Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 4 badge!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 3 badge!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 2 badge!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 1 badge!

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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.

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完成Google Cloud 云计算基础知识挑战任务,赢取技能徽章。 您将学习如何在 Compute Engine 中使用虚拟机 (VM)、永久性 磁盘和 Web 服务器。 技能徽章是一种专有数字徽章, 由 Google Cloud 颁发,旨在认可您已熟悉特定的 Google Cloud 产品与服务, 并在交互式实操环境中证明了运用所学知识 的能力。完成此技能徽章课程和作为最终评估的实验室挑战赛, 获得相应的数字徽章,在您的人际圈中秀出自己的技能。

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本课程简要介绍了编码器-解码器架构,这是一种功能强大且常见的机器学习架构,适用于机器翻译、文本摘要和问答等 sequence-to-sequence 任务。您将了解编码器-解码器架构的主要组成部分,以及如何训练和部署这些模型。在相应的实验演示中,您将在 TensorFlow 中从头编写简单的编码器-解码器架构实现代码,以用于诗歌生成。

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本课程教您如何使用深度学习来创建图片标注模型。您将了解图片标注模型的不同组成部分,例如编码器和解码器,以及如何训练和评估模型。学完本课程,您将能够自行创建图片标注模型并用来生成图片说明。

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本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分,例如自注意力机制,以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务,例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。

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本课程将向您介绍注意力机制,这是一种强大的技术,可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理,以及如何使用它来提高各种机器学习任务的性能,包括机器翻译、文本摘要和问题解答。

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这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学,特别是热力学。过去几年内,扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论,以及如何在 Vertex AI 上训练和部署此类模型。

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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这是一节入门级微课程,旨在解释什么是负责任的 AI、它的重要性,以及 Google 如何在自己的产品中实现负责任的 AI。此外,本课程还介绍了 Google 的 7 个 AI 开发原则。

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这是一节入门级微课程,旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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