Autoencoders are one of my favourite Neural Networks!
They are simple yet so powerful!
Today, We'll understand:
- What Autoencoders are❓
- How they are trained
- The applications of Autoencoders
- And how to implement them from scratch using PyTorch Lightning!⚡️
Let's go! 🚀
Here is how you can build Machine Learning models without writing a single line of code.
Most companies are sitting on a massive amount of information they can't use because they need people with the skills to process, analyze, and use the data.
If you've tried, you know that building models for real-life problems takes time and a lot of effort.
Fortunately, no-code Machine Learning is now a reality!
I spent last week testing the new "Build From Scratch" tool that @piexchange introduced to the AI & Analytics Engine, and here is how it can help you:
First, you can build any regression, classification, or clustering model. They also support starting from a template to solve more common use cases, but building from scratch gives you complete flexibility.
You import your data from a file or a database. They support any of the usual suspects: SQL Server, Oracle, MySQL, MongoDB, Snowflake; you name it.
You can apply transformations to the data from a list of existing recipes. You select the template, specify which columns and required settings, and the platform will transform your data accordingly.
You can then split your dataset, specify the target column, and train a model. You don't need to understand how to prepare a model or the type you need. The platform will do that for you and automatically select the best model based on the results.
Finally, you can deploy the model with a click of a button.
From a dataset to a deployed model without writing a single line of code!
If you look at the attached screenshot, you'll see some of the metrics the platform calculated for me. You can also get an explanation of which features are important and a what-if tool that will let you analyze the model.
Anyone with a dataset should try the AI & Analytics Engine from @piexchange. There are many use cases where you can't beat a no-code solution.
You can sign up for a two-week free trial here: https://t.co/sAuqhHKb2q.
Thanks to @piexchange for sponsoring this post.
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