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Project: Create Custom Layers in Keras

Project: Create Custom Layers in Keras

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8.7/10 (Our Score)
Product is rated as #92 in category Data Science

In this 1–hour long project–based course, you will learn how to create a custom layer in Keras, and create a model using the custom layer. In this project, we will create a simplified version of a Parametric ReLU layer, and use it in a neural network model. Then we will use the neural network to solve a multi–class classification problem. We will also compare our activation layer with the more commonly used ReLU activation layer. 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 (e.g. Python, Jupyter, and Tensorflow) pre–installed. Prerequisites: In order to be successful in this project, you should be familiar with python programming, neural networks, and Keras. 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. – …

Instructor Details

Amit is a Machine Learning Engineer with focus in creating deep learning based computer vision and signal processing products. He has led chat bot development at a large corporation in the past. Amit is one of the Machine Learning and Data Science instructors at Rhyme.

Specification: Project: Create Custom Layers in Keras

Duration 3 hours
Year 2020
Level Intermediate
Certificate Yes
Quizzes Yes

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