# Tensorleap Docs ## Docs - [Getting Started](https://docs.tensorleap.ai/getting-started.md): Getting Started with the Tensorleap platform: Installation and integrating an off-the-shelf model - [Introduction to Tensorleap](https://docs.tensorleap.ai/getting-started/readme.md) - [Core Concepts](https://docs.tensorleap.ai/getting-started/core-concepts.md): This page describes the three core concepts that the Tensorleap Platform utilizes: the code, the model, and the mapping. - [Tensorleap Setup](https://docs.tensorleap.ai/getting-started/tensorleap-setup.md): How to setup the Tensorleap server, CLI, authentication and registering a user - [Installation](https://docs.tensorleap.ai/getting-started/tensorleap-setup/installation.md): Here we will describe how to install the Tensorleap on-prem server - [Registering a User](https://docs.tensorleap.ai/getting-started/tensorleap-setup/registering-a-user.md): This page would walk you through the registration of a user to Tensorleap - [Manage License](https://docs.tensorleap.ai/getting-started/tensorleap-setup/manage-license.md): This page describes how to extend the Tensorleap trial - [CLI authentication](https://docs.tensorleap.ai/getting-started/tensorleap-setup/cli-authentication.md): This page covers the steps needed to authenticate the CLI with your server - [Post-Installation Sanity Check](https://docs.tensorleap.ai/getting-started/tensorleap-setup/post-installation-sanity-check.md) - [QuickStart](https://docs.tensorleap.ai/getting-started/quickstart.md): This section details the Tensorleap quickstart options - [Quickstart using Leap Hub](https://docs.tensorleap.ai/getting-started/quickstart/quickstart-using-leap-hub.md): How to Quickly load an off-the-shelf model & dataset using Leap Hub - [Quickstart Using Gallery](https://docs.tensorleap.ai/getting-started/quickstart/quickstart-using-gallery.md): How to import one of our demo projects directly from the platform - [Quickstart using CLI](https://docs.tensorleap.ai/getting-started/quickstart/quickstart-using-cli.md) - [Tensorleap Integration](https://docs.tensorleap.ai/tensorleap-integration.md): Integrating your own model and dataset to the platform and reviewing the development proces - [Writing Integration Code](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code.md): Integration Script - How to integrate your dataset and dataloaders with Tensorleap - [Preprocess Function](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/preprocess-function.md) - [Input Encoder](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/input-encoder.md) - [Ground Truth Encoder](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/ground-truth-encoder.md) - [Metadata Function](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/metadata-function.md) - [Visualizer Function](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/visualizer-function.md) - [Custom Metrics](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/custom-metrics.md) - [Custom Loss Function](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/custom-loss-function.md) - [Prediction](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/prediction.md) - [Custom Layers](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/custom-layers.md) - [Examples](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples.md) - [CelebA Object Detection (YoloV7)](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/celeba-object-detection-yolov7.md) - [Wikipedia Toxicity (using Tensorflow Datasets)](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/wikipedia-toxicity-using-tensorflow-datasets.md) - [Confusion Matrix](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/confusion-matrix.md) - [CelebA Classification (using GCS)](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/examples/celeba-classification-using-gcs.md) - [Unlabeled Data](https://docs.tensorleap.ai/tensorleap-integration/writing-integration-code/unlabeled-data.md) - [Model Integration](https://docs.tensorleap.ai/tensorleap-integration/model-integration.md) - [leap.yaml](https://docs.tensorleap.ai/tensorleap-integration/leap.yaml.md): Descirbes the leap.yaml configuration - it's fields and usage - [Configurations files](https://docs.tensorleap.ai/tensorleap-integration/configurations-files.md): Describes the tensorleap project-level configuration - [Integration test](https://docs.tensorleap.ai/tensorleap-integration/integration-test.md): How to locally test your Tensorleap integration - [Uploading with CLI](https://docs.tensorleap.ai/tensorleap-integration/uploading-with-cli.md): This describes best practices of how to upload your code and models into Tensorleap - [CLI Assets upload](https://docs.tensorleap.ai/tensorleap-integration/uploading-with-cli/cli-assets-upload.md): Describes the usage of the Tensorleap CLI to upload models and datasets to the platform - [Python API](https://docs.tensorleap.ai/tensorleap-integration/python-api.md) - [code\_loader](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader.md) - [Decorators](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators.md) - [@tensorleap\_preprocess](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_preprocess.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess - [@tensorleap\_input\_encoder](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_input_encoder.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_input\_encoder - [@tensorleap\_gt\_encoder](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_gt_encoder.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_gt\_encoder - [@tensorleap\_custom\_loss](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_custom_loss.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_custom\_loss - [@tensorleap\_custom\_metric](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_custom_metric.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_custom\_metric - [@tensorleap\_custom\_visualizer](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_custom_visualizer.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_custom\_visualizer - [@tensorleap\_metadata](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_metadata.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_preprocess.tensorleap\_metadata - [@tensorleap\_load\_model](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_load_model.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_load\_model - [@tensorleap\_integration\_test](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_integration_test.md): code\_loader.inner\_leap\_binder.leapbinder\_decorators.tensorleap\_integration\_test - [leap\_binder](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder.md): code\_loader.leap\_binder - [add\_prediction](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/add_prediction.md): code\_loader.leap\_binder.add\_prediction - [add\_custom\_metric](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/add_custom_metric.md) - [set\_preprocess](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_preprocess.md): code\_loader.leap\_binder.set\_preprocessing - [set\_unlabeled\_data\_preprocess](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_unlabeled_data_preprocess.md): code\_loader.leap\_binder.set\_unlabeled\_data\_preprocess - [set\_input](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_input.md): code\_loader.leap\_binder.set\_input - [set\_ground\_truth](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_ground_truth.md): code\_loader.leap\_binder.set\_ground\_truth - [set\_metadata](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_metadata.md): code\_loader.leap\_binder.set\_ground\_truth - [add\_custom\_loss](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/add_custom_loss.md): code\_loader.leap\_binder.add\_custom\_loss - [set\_visualizer](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/leap_binder/set_visualizer.md): code\_loader.leap\_binder.set\_visualizer - [enums](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/enums.md): code\_loader.contract.enums - [DatasetMetadataType](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/enums/datasetmetadatatype.md): code\_loader.contract.enums.DatasetMetadataType - [LeapDataType](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/enums/leapdatatype.md): code\_loader.contract.enums.LeapDataType - [DataStateType](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/enums/datastatetype.md) - [datasetclasses](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/datasetclasses.md): code\_loader.contract.datasetclasses - [PreprocessResponse](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/datasetclasses/preprocessresponse.md): code\_loader.contract.datasetclasses.PreprocessResponse - [PredictionTypeHandler](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/datasetclasses/predictiontypehandler.md): code\_loader.contract.datasetclasses.PredictionTypeHandler - [LeapAnalysisConfiguration](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/datasetclasses/leapanalysisconfiguration.md): code\_loader.contract.responsedataclasses.LeapAnalysisConfiguration - [visualizer\_classes](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes.md): code\_loader.contract.datasetclasses - [LeapImage](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimage.md): code\_loader.contract.visualizer\_classes.LeapImage - [LeapImageMask](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagemask.md): code\_loader.contract.visualizer\_classes.LeapImageMask - [LeapImageWithBBox](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagewithbbox.md): code\_loader.contract.visualizer\_classes.LeapImageWithBBox - [LeapImageWithHeatmap](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagewithheatmap.md): code\_loader.contract.visualizer\_classes.LeapImageWithHeatmap - [LeapHorizontalBar](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leaphorizontalbar.md): code\_loader.contract.visualizer\_classes.LeapHorizontalBar - [LeapGraph](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapgraph.md): code\_loader.contract.visualizer\_classes.LeapGraph - [LeapText](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leaptext.md): code\_loader.contract.visualizer\_classes.LeapText - [LeapTextMask](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leaptextmask.md): code\_loader.contract.visualizer\_classes.LeapTextMask - [LeapVideo](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes/leapvideo.md): code\_loader.contract.visualizer\_classes.LeapImage - [helpers](https://docs.tensorleap.ai/tensorleap-integration/python-api/helpers.md) - [detection](https://docs.tensorleap.ai/tensorleap-integration/python-api/helpers/detection.md) - [YOLO](https://docs.tensorleap.ai/tensorleap-integration/python-api/helpers/detection/yolo.md): Utils for the Yolo Object Detection task - [Integration Example](https://docs.tensorleap.ai/tensorleap-integration/integration-example.md): This section would walkthrough specific code integrations examples from different projects, their interfaces and usage - [MNIST](https://docs.tensorleap.ai/tensorleap-integration/integration-example/mnist.md): This section would showcase the MNIST example - [UI Assets upload](https://docs.tensorleap.ai/tensorleap-integration/ui-assets-upload.md) - [User Interface](https://docs.tensorleap.ai/user-interface.md) - [Project](https://docs.tensorleap.ai/user-interface/project.md): A project defines the scope of the models and model versions for your use case. - [Network](https://docs.tensorleap.ai/user-interface/project/network.md): This section describes the network view in the platform and its usage: map integration elements and select code integrations. - [Network Mapping](https://docs.tensorleap.ai/user-interface/project/network/network-mapping.md): This section details the way to add a mapping to your Network and validate it - [Create a mapping (Deprecated)](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated.md) - [Network Wizard](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/network-wizard.md) - [Input Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/input-node.md): The Input Node passes input from a dataset to your model's layers - [Ground Truth Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/ground-truth-node.md): The Ground Truth Node passes ground truth from a dataset to your model's layers - [Loss Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/loss-node.md): The Loss Node computes the loss for your model - [Visualizer Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/visualizer-node.md): Visualize model graph tensors using Visualizers - [Metric Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/metric-node.md): The Metric Node computes the metric for your model - [Model Node](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/model-node.md): The Block that represents your model in the network view - [Layers](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/create-a-mapping-deprecated/layers.md): Set up your network with Layers - [Validate mapping](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/validate-mapping.md): How to ensure you created a valid mapping - [Save mapping to file (Deprecated)](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/save-mapping-to-file-deprecated.md): How to save a network mapping for repeated use - [Applying a mapping (Deprecated)](https://docs.tensorleap.ai/user-interface/project/network/network-mapping/applying-a-mapping-deprecated.md): How to apply a previously created mapping file - [Code Integration](https://docs.tensorleap.ai/user-interface/project/network/code-integration.md): This section describe the code view within the Network Tab - [Code version controller](https://docs.tensorleap.ai/user-interface/project/network/code-integration/code-version-controller.md): This section describes the Tensorleap integration script version control and its association with an uploaded model - [Asset Review](https://docs.tensorleap.ai/user-interface/project/network/code-integration/asset-review.md): This describes the asset review section within the Code integration view of the Network tab - [Code Viewing](https://docs.tensorleap.ai/user-interface/project/network/code-integration/code-viewing.md): Viewing the integration script from the platform - [Versions](https://docs.tensorleap.ai/user-interface/project/versions.md): Choosing a model to analyze and examine in Tensorleap and managing uploaded models - [Import Model](https://docs.tensorleap.ai/user-interface/project/versions/import-model.md): Learn how to import models into Tensorleap - [Menu Bar](https://docs.tensorleap.ai/user-interface/project/menu-bar.md): Evaluating a model, Curating Datasets, inspecting active jobs, reviewing notifications, editing profile info and an in-app tour. - [Evaluate a Model](https://docs.tensorleap.ai/user-interface/project/menu-bar/evaluate-a-model.md): Learn how to evaluate models in the platform - [Dataset Curation](https://docs.tensorleap.ai/user-interface/project/menu-bar/dataset-curation.md): Learn how to get labeling recommendations using Tensorleap's Dataset Curation functionality. - [Runs and Processes](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes.md): Runs and processes allow a user to inspect processes, get logs, resume failed jobs and kill processes - [Process Types](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types.md): This section defines the different process types, what they do, and the main issues that main errors that could be encountered while initiating them. - [Import Model Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/import-model-process.md): This describes the Import Model process - [Dataset Parse Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/dataset-parse-process.md): This describes the dataset parse process - [Tensorleap default environment](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/dataset-parse-process/tensorleap-default-environment.md) - [Graph Validate Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/graph-validate-process.md): This describes the graph validate process - [Evaluate Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/evaluate-process.md): This describes the evaluate process - [Population Exploration Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/population-exploration-process.md): This describes the population exploration process - [Visualizers Calculation Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/visualizers-calculation-process.md): This describes the visualization process - [Fetch Similar Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/fetch-similar-process.md): This describes the fetch similar process - [Sample Analysis Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/sample-analysis-process.md): This describes the sample analysis process - [Import Project Process](https://docs.tensorleap.ai/user-interface/project/menu-bar/runs-and-processes/process-types/import-project-process.md): This describes the import project process - [Notifications](https://docs.tensorleap.ai/user-interface/project/menu-bar/notifications.md): This describes the notification system in the platform - [In-app tour (beta)](https://docs.tensorleap.ai/user-interface/project/menu-bar/in-app-tour-beta.md): This describes the in-app tours in the platform - [Dashboards](https://docs.tensorleap.ai/user-interface/dashboards.md) - [Dashlets](https://docs.tensorleap.ai/user-interface/dashboards/dashlets.md): This section describes the different dashlets available in the Tensorleap platform - [Population Exploration](https://docs.tensorleap.ai/user-interface/dashboards/dashlets/population-exploration.md): This describes the population exploration dashlet - [Sample Visualization](https://docs.tensorleap.ai/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md): This page provides examples of the different visualizers supported in the platform - [Population exploration settings](https://docs.tensorleap.ai/user-interface/dashboards/dashlets/population-exploration/population-exploration-settings.md): This page describes the settings of the population exploration dashboard which allows to control selected algorithms and analysis. - [Sample Analysis](https://docs.tensorleap.ai/user-interface/dashboards/dashlets/sample-analysis.md): View the results of the sample analysis computations - [Metrics Dashboard](https://docs.tensorleap.ai/user-interface/dashboards/dashlets/metrics-dashboard.md) - [Issues](https://docs.tensorleap.ai/user-interface/dashboards/issues.md): Share issues across your team - [Tests](https://docs.tensorleap.ai/user-interface/dashboards/tests.md): Compose tests that continuously track your model performance - [Insights](https://docs.tensorleap.ai/user-interface/dashboards/insights.md): Extracting automatic insights using Tensorleap - [Dashboard actions](https://docs.tensorleap.ai/user-interface/dashboards/dashboard-actions.md) - [Dashboard Filtering](https://docs.tensorleap.ai/user-interface/dashboards/dashboard-actions/dashboard-filtering.md): This page describes filtering at the Tensorleap platform - [Fetch Similar](https://docs.tensorleap.ai/user-interface/dashboards/dashboard-actions/fetch-similar.md): This section describes what is "Fetch Similar" within the platform - [Secrets Management](https://docs.tensorleap.ai/user-interface/secrets-management.md): To add, update, retrieve, and delete Secrets, use the Secret Manager - [Resources Management](https://docs.tensorleap.ai/user-interface/resources-management.md) - [Integration Scripts](https://docs.tensorleap.ai/user-interface/resources-management/integration-scripts.md): Control and arrange your integration scripts - [Team management](https://docs.tensorleap.ai/user-interface/team-management.md): Select the device type for execution - [Settings](https://docs.tensorleap.ai/user-interface/settings.md): This describes the settings page of the Tensorleap platform - [Getting Value from Tensorleap](https://docs.tensorleap.ai/getting-value-from-tensorleap.md) - [Agressors detection](https://docs.tensorleap.ai/getting-value-from-tensorleap/agressors-detection.md): This describes how to detect aggressors within the Tensorleap platform - [Domain Gap Analysis](https://docs.tensorleap.ai/getting-value-from-tensorleap/domain-gap-analysis.md): This describes how to charactarise domain gap and minimize it within the plaform - [Labelling prioritization](https://docs.tensorleap.ai/getting-value-from-tensorleap/labelling-prioritization.md): This describes how to choose samples for labelling within the platform - [Evaluate Unlabelled Data](https://docs.tensorleap.ai/getting-value-from-tensorleap/evaluate-unlabelled-data.md): This describes how to evaluate the performance of your model on unlabelled data - [Active Learning](https://docs.tensorleap.ai/getting-value-from-tensorleap/active-learning.md): This describes how to focus labeling efforts using TensorLeap’s active learning capabilities. - [Synthetic Data Optimization](https://docs.tensorleap.ai/getting-value-from-tensorleap/synthetic-data-optimization.md) - [Pruning](https://docs.tensorleap.ai/getting-value-from-tensorleap/pruning.md) - [Video Tutorials](https://docs.tensorleap.ai/video-tutorials.md) - [Examples](https://docs.tensorleap.ai/examples.md) - [Semantic Segmentation](https://docs.tensorleap.ai/examples/semantic-segmentation.md) - [Image Analysis](https://docs.tensorleap.ai/examples/image-analysis.md) - [Sentiment Analysis](https://docs.tensorleap.ai/examples/sentiment-analysis.md) - [MNIST Project Walkthrough](https://docs.tensorleap.ai/examples/mnist-project-walkthrough.md) - [IMDB Project Walkthrough](https://docs.tensorleap.ai/examples/imdb-project-walkthrough.md) - [Guides](https://docs.tensorleap.ai/guides.md) - [Full Guides](https://docs.tensorleap.ai/guides/full-guides.md) - [MNIST Guide](https://docs.tensorleap.ai/guides/full-guides/mnist-guide.md) - [Dataset Integration](https://docs.tensorleap.ai/guides/full-guides/mnist-guide/dataset-integration.md) - [Model Integration](https://docs.tensorleap.ai/guides/full-guides/mnist-guide/model-integration.md) - [Model Perception Analysis](https://docs.tensorleap.ai/guides/full-guides/mnist-guide/model-perception-analysis.md) - [Advanced Metrics](https://docs.tensorleap.ai/guides/full-guides/mnist-guide/advanced-metrics.md) - [IMDB Guide](https://docs.tensorleap.ai/guides/full-guides/imdb-guide.md) - [Dataset Integration](https://docs.tensorleap.ai/guides/full-guides/imdb-guide/dataset-integration.md) - [Model Integration](https://docs.tensorleap.ai/guides/full-guides/imdb-guide/model-integration.md) - [Model Perception Analysis](https://docs.tensorleap.ai/guides/full-guides/imdb-guide/model-perception-analysis.md) - [Advanced Metrics](https://docs.tensorleap.ai/guides/full-guides/imdb-guide/advanced-metrics.md) - [Tips & Tricks](https://docs.tensorleap.ai/tips-and-tricks.md) - [Import External Code](https://docs.tensorleap.ai/tips-and-tricks/import-external-code.md) - [Common Issues](https://docs.tensorleap.ai/common-issues.md) - [Legal](https://docs.tensorleap.ai/legal.md) - [Terms of Use](https://docs.tensorleap.ai/legal/terms-of-use.md): Tensorleap Terms of Use - Last updated: 13.08.2020 - [Privacy Policy](https://docs.tensorleap.ai/legal/privacy-policy.md): Tensorleap Privacy Policy - Last Revised: October 11, 2020 - [Video Tutorials](https://docs.tensorleap.ai/video-tutorials-1.md) --- # Agent Instructions This documentation is published with GitBook. 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