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book_path: /hub/_book.yaml
project_path: /hub/_project.yaml
title: Tutorials
landing_page:
custom_css_path: /site-assets/css/style.css
nav: left
meta_tags:
- name: description
content: >
TensorFlow Hub tutorials to help you get started with using and adapting pre-trained
machine learning models to your needs.
rows:
# Getting started
- classname: devsite-landing-row-100
items:
- description: >
<h2 class="tfo-landing-page-heading no-link">Getting started</h2>
<p><a href="https://tfhub.dev">TensorFlow Hub</a> is a comprehensive repository of pre-trained
models ready for fine-tuning and deployable anywhere. Download the latest trained models
with a minimal amount of code with the <code>tensorflow_hub</code> library.</p>
<p>The following tutorials should help you getting
started with using and applying models from TF Hub for your needs. Interactive tutorials let you
modify them and execute them with your changes. Click the <i>Run in Google Colab</i>
button at the top of an interactive tutorial to tinker with it.</p>
# For beginners
- classname: devsite-landing-row-100
items:
- description: >
<h2 class="tfo-landing-page-heading no-link">For beginners</h2>
<p>If you are unfamiliar with machine learning and TensorFlow, you can start by getting
an overview of how to classify images and text, detecting objects in images, or by stylizing your own pictures like famous artwork:</p>
- classname: devsite-landing-row-100
items:
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/tf2_image_retraining"><h3 class="no-link">Image Classification</h3></a>
Build a Keras model on top of a pre-trained image classifier to distinguish flowers.
path: /hub/tutorials/tf2_image_retraining
image_path: /hub/images/image_classification.png
- classname: tfo-landing-page-card
description: >
<a href="/tutorials/text/classify_text_with_bert"><h3 class="no-link">Classify Text with BERT</h3></a>
Use BERT to build a Keras model to solve a text classificaton sentiment analysis task.
path: /tutorials/text/classify_text_with_bert
image_path: /hub/images/bert_preprocess.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/tf2_arbitrary_image_stylization">
<h3 class="no-link">Style Transfer</h3>
</a>
Let a neural network redraw an image in the style of Picasso, van Gogh or like your own style image.
path: /hub/tutorials/tf2_arbitrary_image_stylization
image_path: /hub/images/style_transfer.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/object_detection"><h3 class="no-link">Object Detection</h3></a>
Detect objects in images using models like FasterRCNN or SSD.
path: /hub/tutorials/tf2_object_detection
image_path: /hub/images/object_detection.png
# More advanced users
- classname: devsite-landing-row-100
items:
- description: >
<h2 class="tfo-landing-page-heading no-link">For experienced developers</h2>
<p>Check out more advanced tutorials for how to use NLP, images, audio, and video models from TensorFlow Hub.</p>
# NLP tutorials
- classname: devsite-landing-row-100
items:
- description: >
<h3 class="tfo-landing-page-heading no-link">NLP tutorials</h3>
<p>Solve common NLP tasks with models from TensorFlow Hub. View all available NLP tutorials in the left nav.</p>
- classname: devsite-landing-row-100
items:
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder"><h3 class="no-link">Semantic Similarity</h3></a>
Classify and semantically compare sentences with the Universal Sentence Encoder.
path: /hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder
image_path: /hub/images/similarity.png
- classname: tfo-landing-page-card
description: >
<a href="/tutorials/text/solve_glue_tasks_using_bert_on_tpu"><h3 class="no-link">BERT on TPU</h3></a>
Use BERT to solve GLUE benchmark tasks running on TPU.
path: /tutorials/text/solve_glue_tasks_using_bert_on_tpu
image_path: /hub/images/bert.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/retrieval_with_tf_hub_universal_encoder_qa"><h3 class="no-link">Multilingual Universal Sentence Encoder Q&A</h3></a>
Answer cross-lingual questions from the SQuAD dataset using the multilingual universal sentence encoder Q&A model.
path: /hub/tutorials/retrieval_with_tf_hub_universal_encoder_qa
image_path: /hub/images/colab_logo.svg
# Image tutorials
- classname: devsite-landing-row-100
items:
- description: >
<h3 class="tfo-landing-page-heading no-link">Image tutorials</h3>
<p>Explore how to use GANs, super resolution models and more. View all available image tutorials in the left nav.</p>
- classname: devsite-landing-row-100
items:
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/tf_hub_generative_image_module"><h3 class="no-link">GANS for Image Generation</h3></a>
Generate artificial faces and interpolate between them using GANs.
path: /hub/tutorials/tf_hub_generative_image_module
image_path: /hub/images/gan_faces.gif
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/image_enhancing"><h3 class="no-link">Super Resolution</h3></a>
Enhance the resolution of downsampled images.
path: /hub/tutorials/image_enhancing
image_path: /hub/images/super_resolution.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/tf_hub_delf_module"><h3 class="no-link">Image Extension</h3></a>
Fill the masked part of given images.
path: /hub/tutorials/boundless
image_path: /hub/images/boundless.png
# Audio tutorials
- classname: devsite-landing-row-100
items:
- description: >
<h3 class="tfo-landing-page-heading no-link">Audio tutorials</h3>
<p>Explore tutorials using trained models for audio data including pitch recognition and sound classification.</p>
- classname: devsite-landing-row-100
items:
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/spice"><h3 class="no-link">Pitch recognition</h3></a>
Record yourself singing and detect the pitch of your voice using the SPICE model.
path: /hub/tutorials/spice
image_path: /hub/images/spice_color.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/yamnet"><h3 class="no-link">Sound classification</h3></a>
Use the YAMNet model to classify sounds as 521 audio event classes from the AudioSet-YouTube corpus.
path: /hub/tutorials/yamnet
image_path: /hub/images/yamnet.png
# Video tutorials
- classname: devsite-landing-row-100
items:
- description: >
<h3 class="tfo-landing-page-heading no-link">Video tutorials</h3>
<p>Try out trained ML models for video data for action recognition, video interpolation, and more.</p>
- classname: devsite-landing-row-100
items:
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/action_recognition_with_tf_hub"><h3 class="no-link">Action Recognition</h3></a>
Detect one of 400 actions in a video using the Inflated 3D ConvNet model.
path: /hub/tutorials/action_recognition_with_tf_hub
image_path: /hub/images/action_recognition.gif
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/tweening_conv3d"><h3 class="no-link">Video Interpolation</h3></a>
Interpolate between video frames using Inbetweening with 3D Convolutions.
path: /hub/tutorials/tweening_conv3d
image_path: /hub/images/interpolation.png
- classname: tfo-landing-page-card
description: >
<a href="/hub/tutorials/text_to_video_retrieval_with_s3d_milnce"><h3 class="no-link">Text-to-Video Retrieval</h3></a>
Find videos that are the most related to a text query.
path: /hub/tutorials/text_to_video_retrieval_with_s3d_milnce
image_path: /hub/images/text_video.gif