AI Expedition
AI Expedition
  • Видео 4
  • Просмотров 23 007
Speed up your TensorFlow code using TFRecords and dataset pipelines
In this video you'll learn how to use TFRecords and dataset pipelines to increase your TensorFlow Training code.
A link to my website:
aiexpedition.com/
A link to the github repo:
github.com/jlaihong/Speed-up-TensorFlow-code-using-TFRecords
Documentation:
tf.data.TFRecordDataset
www.tensorflow.org/api_docs/python/tf/data/TFRecordDataset
tf.train.Example
www.tensorflow.org/api_docs/python/tf/train/Example
tf.train.Features
www.tensorflow.org/api_docs/python/tf/train/Features
tf.train.Feature
www.tensorflow.org/api_docs/python/tf/train/Feature
TFRecord and tf.train.Example
www.tensorflow.org/tutorials/load_data/tfrecord
Просмотров: 5 084

Видео

Remove people and pimples from images
Просмотров 2653 года назад
See how I convert AI models into working tools and try out the tool for yourself. Link to the tool: aiexpedition.com/tools/image_inpainting/ Link to the research paper: openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Generative_Image_Inpainting_CVPR_2018_paper.pdf Link to the model code: github.com/JiahuiYu/generative_inpainting Link to my website: aiexpedition.com/ Link to my Udemy course: w...
Image Super Resolution: SRResNet and SRGAN TensorFlow 2 implementation and model intuition
Просмотров 9 тыс.3 года назад
In this video, I talk through a TensorFlow 2 implementation of the Image Super Resolution SRResNet and SRGAN models, outlined in the paper: Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. arxiv.org/pdf/1609.04802.pdf Link to previous demo video: ruclips.net/video/n7ji9g8hE0Q/видео.html Link to TensorFlow 2 code: github.com/jlaihong/image-super-resolution Li...
Improve Image Quality using AI
Просмотров 9 тыс.3 года назад
In this video, I show you how to use 2 of the most well known AI Image Super Resolution models to enhance your image quality (SRResNet and SRGAN). It's completely free and only requires that you have a Google account (you have a Google account if you use gmail or if you use the Google Play Store). Link to the github code repository: github.com/jlaihong