# MNIST Guide

## Introduction

In this guide, we will integrate the [**MNIST database**](http://yann.lecun.com/exdb/mnist/) (handwritten digits) into Tensorleap, build and train a simple classification model, and then analyze it.

This guide requires a Tensorleap account. Sign up for a free trial [**here**](https://tensorleap.ai) if you do not have one yet.

## What This Guide Covers

This guide is designed to get you started quickly with Tensorleap. We recommend that you go through its sections in order, since each section depends on the previous one.

* [**MNIST Dataset Integration**](/guides/full-guides/mnist-guide/dataset-integration.md)
* [**Model Integration**](/guides/full-guides/mnist-guide/model-integration.md)
* [**Model Perception Analysis**](/guides/full-guides/mnist-guide/model-perception-analysis.md)
* [**Advanced Metrics**](/guides/full-guides/mnist-guide/advanced-metrics.md)

Our [**Platform**](/user-interface.md) documentation for the Tensorleap user interface (UI) and Command Line Interface (CLI) may prove useful when going through this guide.

{% hint style="info" %}
This is also applicable to Tensorleap's **On-Premise** solution, which lets you run our platform on an isolated machine.
{% endhint %}

## Get Started

Ready to get started? Go to [**Dataset Integration**](/guides/full-guides/mnist-guide/dataset-integration.md).


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