TensorFlow Developer Certificate 計畫總覽
The goal of this certificate is to provide everyone in the world the opportunity to showcase their expertise in ML in an increasingly AI-driven global job market. This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow.
The program consists of an assessment exam developed by the TensorFlow team. Developers who pass the exam can join our Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world.
Stay tuned as we are working to add certificate programs for more advanced and specialized TensorFlow practitioners. Check back soon for more information.
Before you take the exam, please review our Candidate Handbook.
誰是 TensorFlow 認證的目標對象?
這項初級認證測驗會測試開發人員對於將機器學習整合至工具和應用程式的基本知識。要通過認證計畫,必須理解如何使用電腦視覺、卷積類神經網路、自然語言處理,以及現實生活中的圖片資料和策略來建構 TensorFlow 模型。
參加者必須熟悉下列知識才能成功通過測驗:
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機器學習和深度學習的基本原則
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在 TensorFlow 2.x 中建構機器學習模型
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使用深層類神經網路與卷積類神經網路來建構圖片辨識、物件偵測和文字辨識的演算法
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使用現實生活中形狀大小不一的圖片,透過卷積將圖片呈現流程視覺化,瞭解電腦如何「檢視」資訊,並計算損失和準確率
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探索防止過度配適的策略,包括擴增和丟棄
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使用 TensorFlow 的類神經網路來解決自然語言處理問題
優勢
我們致力於普及機器學習的知識,讓擁有不同背景、經驗、觀點,以及來自不同地理位置的人可以接觸相關知識,以推動機器學習和相關應用發展。為此,我們很樂意提供一部分的獎學金,用來補助教材和/或測驗方面的費用。
If you don't have the background above, take the DeepLearning.AI TensorFlow Developer Professional Certificate specialization on Coursera or the Intro to TensorFlow for Deep Learning course on Udacity to prepare for the exam. These courses require:
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Python 入門程式設計技巧
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具備機器學習或深度學習的相關知識會有幫助,但並非必要條件
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具備線性代數、機率、統計和微積分的數學背景會有幫助,但並非必要條件
Not there yet? Other resources are available to get you up-to-speed.
運作方式
Review our Candidate Handbook covering exam criteria and FAQs. Optional: Take the DeepLearning.AI TensorFlow Developer Professional Certificate. This is strongly recommended in order to prepare for the exam.
登記參加測驗。使用 Gmail 帳戶登入、上傳附相片的身分證件 (例如駕照或護照),並提供付款資訊。如果你沒有 Gmail 帳戶,可以在登入過程中建立。
參加並完成測驗。在測驗購買日期 6 個月內,隨時都能登入並參加測驗。最多有五小時可作答。
取得你的 TensorFlow 認證。提交測驗後,我們會進行評分,你可以在 24 小時內於候選者入口網站查看提交狀態。
Share your expertise with your community. You can add the certificate and badge to your resume and public profiles, including GitHub, LinkedIn, Twitter, and join our Certificate Network to help recruiters find ML professionals like you.