intermediate

Neural Networks from Scratch using C++

Artificial Intelligence

4 courses

Go beyond black boxes! Build Neural Networks from scratch with C++. Master every detail, from neurons to backpropagation, and apply your own library to real-world ML challenges.

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Verified skills you'll gain

INTERMEDIATE

Deep Learning and Neural Networks

INTERMEDIATE

Model Deployment Processes

Tools you'll use

C++

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This course introduces the core building blocks of neural networks. You'll learn what a neuron is, how it processes information, the role of activation functions, and how neurons are organized into layers. By the end, you'll implement a single dense layer from scratch using Python and NumPy.

Course 2

The MLP Architecture: Activations & Initialization

4 lessons

17 practices

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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Course 3

Training Neural Networks: the Backpropagation Algorithm

5 lessons

21 practices

This course dives into how neural networks learn from data. You'll implement loss functions to measure prediction errors, understand the intuition and mechanics of gradient descent, master the backpropagation algorithm to calculate gradients, and use an optimizer to update network weights.

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Course 4

Building and Applying Your Neural Network Library

5 lessons

16 practices

This course focuses on transforming your code into a reusable Python library and applying it to a real-world problem. You'll refactor your existing components into a structured package, build a `Model` class for easier network definition and training, and finally, train your neural network on the California Housing dataset for a regression task.

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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

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

Neural Networks from Scratch using C++

Verified skills you'll gain

Trusted by learners working at top companies

Turn screen time into skills time

Join the 1M+ learners on CodeSignal

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