Build an LSTM Autoencoder in Keras
Detect anomalies with Autoencoders in time series data
Create interactive charts and plots with Plotly and Seaborn
In this guided tutorial, you will receive an introduction to anomaly detection in time series data with Keras. You and I will build an anomaly detection model using deep learning. Specifically, we will be designing and training an LSTM autoencoder using the Keras API with Tensorflow 2 as the backend to detect anomalies (sudden price changes) in the S&P 500 index. We will also create interactive charts and plots using Plotly Python and Seaborn for data visualization and display our results in Jupyter notebooks. 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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Project Overview and Import Libraries
Load and Inspect the S&P 500 Index Data
Data Preprocessing
Temporalize Data and Create Training and Test Splits
Build an LSTM Autoencoder
Train the Autoencoder
Plot Metrics and Evaluate the Model
Detect Anomalies in the S&P 500 Index Data
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Nice quick project which helped furthered my understanding. Well worth doing if you want to gain insight on machine learning applied to anomaly detection
It is good. step by step so I can understand. but unfortunately there are no subtitle.
The project was useful. Rhyme's interface needs testing and an upgrade.
I love how well he explained everything and made it simple to follow
What will I get if I purchase a Guided Tutorial?
By purchasing a Guided Tutorial, you'll get everything you need to complete the Guided Tutorial 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 Tutorials available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Tutorials are not available on your mobile device.
Who are the instructors for Guided Tutorials?
Guided Tutorial 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 Tutorial after I complete it?
You can download and keep any of your created files from the Guided Tutorial. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
What is the refund policy?
Guided Tutorials are not eligible for refunds. See our full refund policy.
Is financial aid available?
Financial aid is not available for Guided Tutorials.
Can I audit a Guided Tutorial and watch the video portion for free?
Auditing is not available for Guided Tutorials.
How much experience do I need to do this Guided Tutorial?
At the top of the page, you can press on the experience level for this Guided Tutorial to view any knowledge prerequisites. For every level of Guided Tutorial, your instructor will walk you through step-by-step.
Can I complete this Guided Tutorial right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Tutorial will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Tutorials?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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