Deep Neural Network from Scratch in Rust 馃- Part 5- Training and Inference
In the final part of our series, we train and test our neural network model built from scratch in Rust.

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Series
In the final part of our series, we train and test our neural network model built from scratch in Rust.

Unraveling Backward Propagation: Optimizing Neural Network Performance through Gradient Calculation and Parameter Updates

I hope you have gone through part 1 to understand the premise of how a neural network broadly works and why we are using Rust to build your Neural Network. If you have not, I highly recommend you go through this part 1. Once that is out of the way, l...

Introduction Hi there! I'm excited to share with you my latest blog post on building a Deep Neural Network from Scratch in Rust. In this series of about 5 parts, I'll take you through the basics of neural networks and show you how to implement them u...

In the previous part of our blog series, we discussed how to initialize a neural network (NN) model with specified layers and hidden units. Now, in this part, we will explore the forward propagation algorithm, a fundamental step in the NN's predictio...
