按需活动

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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114 条结果

  1. 实验 精选

    Classify Images of Clouds in the Cloud with AutoML Images

    AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  2. 课程 精选

    Attention Mechanism

    This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, t…

  3. 实验 精选

    Detect and Investigate Threats with Security Command Center

    In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…

  4. 课程 精选

    Responsible AI: Applying AI Principles with Google Cloud

    As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible A…

  5. 课程 精选

    Encoder-Decoder Architecture

    This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and h…

  6. 实验 精选

    TensorFlow: Qwik Start

    In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

  7. 实验 精选

    Creating a Persistent Disk

    In this hands-on lab, you will learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You will also learn about zones, regions, and different disk types. Watch the short preview Create a Persistent Disk, GCP Essentials.

  8. 课程 精选

    Introduction to Image Generation

    This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion m…

  9. 课程 精选

    Innovating with Google Cloud Artificial Intelligence

    Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. …

  10. 课程 精选

    Recommendation Systems on Google Cloud

    In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.