# Guides

## Introduction

To get started with Tensorleap, we provided a few step-by-step guides, describing an integration of datasets and models, in addition to various analyses.

#### Integrating the Dataset and Model

The first step to getting started with Tensorleap is to integrate your datasets and models. This can be done through the [**Integration Script**](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code), which defines how to read each sample and metadata. 

There are multiple ways to integrate your model:

* **Pre-Trained** - You can import a pre-trained model through the [**Import Model**](https://docs.tensorleap.ai/user-interface/project/versions/import-model) feature or through the [**CLI Model Integration**](https://docs.tensorleap.ai/getting-started/quickstart/quickstart-using-cli#model-integration). After the model and dataset are imported, you must [**Evaluate the Model**](https://docs.tensorleap.ai/user-interface/project/menu-bar/evaluate-a-model#evaluate-model) (inference) in order to get the metrics and analyses. 
* **Built from Scratch** - Some users prefer building the model and altering it in the [**Network View**](https://docs.tensorleap.ai/user-interface/project/network). Then the model is Trained within the platform. 

In the full-guides below, we present both cases for each use-case.

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Tensorleap is now available for a **free trial**! For more info, see [**Try Tensorleap for Free**](https://docs.tensorleap.ai/broken-reference).
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## Full Guides

Guides are designed to get you started quickly with Tensorleap.

Choose one to get started:

* [**MNIST - Image Classification**](https://docs.tensorleap.ai/guides/full-guides/mnist-guide) - integration, training, analysis and metrics.

![Sample's Details](https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FoVVhewCo2XiNmmD0ux5p%2Fimage.png?alt=media\&token=1828a601-48d8-44f9-a044-fa9c0161fd79) ![Fetch Similars](https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2F8PDfrNtSLDHUlb4upP8S%2Fimg_11.png?alt=media\&token=d63d71a8-00f9-4baa-b074-1a5b1d1a2657) ![Similar Samples Heat Map](https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2F4AMEHFqJtbFkfHetE9Bb%2Fimage.png?alt=media\&token=3d417cfd-82f5-43b9-936f-b948e506c9d3)

* [**IMDB - Semantic Text classification**](https://docs.tensorleap.ai/guides/full-guides/imdb-guide) - integration, training, analysis and metrics.

![Heat map for Negative Output](https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FBMBQqfsIfkBoNXCOVn35%2Fimage.png?alt=media\&token=349728bf-e2de-4cfa-84b0-8a78596c7ffb) ![Metrics Dashboard](https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FBb7wTSPLUCsOjTi8WU0U%2Fimage.png?alt=media\&token=5b88dad2-3017-4b59-afd1-d8b32b0195d8)

### Dataset Script

#### Guide

 A guide about the Dataset Script can be found [**here**](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code).

#### Examples

* [**Wikipedia Toxicity (using Tensorflow Datasets**](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/wikipedia-toxicity-using-tensorflow-datasets)**)**
* [**CelebA (using Google Cloud Storage)**](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/celeba-classification-using-gcs)

{% hint style="info" %}
The [**Reference**](https://docs.tensorleap.ai/user-interface) documentation for the Tensorleap user interface (UI) and Command Line Interface (CLI) may prove useful when going through these tutorials.
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