Mixup Data augmentation with TensorFlow 2 with intergration in tf.data - Full Stack Deep Learning.

Mixup Data augmentation is a mixed sample based data augmentation strategy in which 2 samples are drawn at random and mixed up. In this tutorial, we shall see how to implement mixup data augmentation and intergration with TensorFlow data pipeline. This video is part of this playlist: https://www.youtube.com/playlist?list=PL2L83ZcMO-5O7zNycUkS5WLgr33J3QxMK Hi, You can use this Link to access our premium courses. You'll be able to build and deploy more than 20 different AI projects. https://neuralearn.podia.com/?coupon=MASTER_AI (30 days money back guarantee) [Please check your mail 5 minutes after requesting access ] Colab Notebook for TensorFlow 2: https://colab.research.google.com/drive/1tqRYQac8AwOkVWnKK8Vr0cJX7Rn7Z_tZ Colab Notebook for PyTorch: https://colab.research.google.com/drive/1876kWPsUPSnuu9WxKLv7Uf1WprJqjRGU Check out: Course on Deep Learning for Computer Vision: https://neuralearn.ai/course/computer_vision Course on Deep Learning for Natural Language Processing: https://neuralearn.ai/course/natural_language_processing Course on Deep Learning for Image Generation: https://neuralearn.ai/course/image_generation Course on Deep Learning for Object Detection: https://neuralearn.ai/course/object_detection Connect with us here: Twitter: https://twitter.com/neulearndotai Facebook: linkhttps://www.facebook.com/Neuralearnai-107372484374170/ LinkedIn https://www.linkedin.com/company/neuralearn Mail: [email protected]