The MLP Architecture: Activations & Initialization in R

Artificial Intelligence

This course builds upon single layers to construct a complete Multi-Layer Perceptron (MLP). You'll learn to stack layers, explore different activation functions like ReLU and Softmax, and understand the importance of weight initialization for effective training.

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4 lessons

17 practices

2 hours

Course details

The MLP Architecture: Activations & Initialization

Preview

Implementing Forward Propagation in a Multi-Layer Perceptron

Fixing Layer Dimensions in a Multi-Layer Perceptron

Building a Multi-Layer Perceptron Function in R

Expanding an MLP with an Additional Layer

Building a Multi-Layer Perceptron from Scratch in R

Previous Course

Next Course: Training Neural Networks: the Backpropagation Algorithm

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11