Named Entity Recognition using LSTMs with Keras
Build and train a bi-directional LSTM with Keras
Solve the Named Entity Recognition (NER) problem with LSTMs
In this 1-hour long project-based course, you will use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions of people, locations, organizations, etc. Named entity recognition is not only a standalone tool for information extraction, but it also an invaluable preprocessing step for many downstream natural language processing applications like machine translation, question answering, and text summarization. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
あなたが開発するスキル
ステップバイステップで学習します
ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。
Project Overview and Import Modules
Load and Explore the NER Dataset
Retrieve Sentences and Corresponding Tags
Define Mappings between Sentences and Tags
Padding Input Sentences and Creating Train/Test Splits
Build and Compile a Bidirectional LSTM Model
Train the Model
Evaluate Named Entity Recognition Model
How Guided Projects work
ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です
分割画面のビデオで、講師が手順ごとにガイドします
よくある質問
よくある質問
What will I get if I purchase a Guided Project?
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are Guided Projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Who are the instructors for Guided Projects?
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my Guided Project after I complete it?
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
返金ポリシーについて教えてください。
Guided Projects are not eligible for refunds. すべての返金ポリシーを表示する.
学資援助はありますか？
Financial aid is not available for Guided Projects.
Can I audit a Guided Project and watch the video portion for free?
Auditing is not available for Guided Projects.
How much experience do I need to do this Guided Project?
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
分割画面環境でタスクをブラウザで直接完了することで学習できます。画面の左側で、ワークスペースでタスクを完了します。画面の右側で、講師がプロジェクトをステップごとにガイドします。
さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。
