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:    • Full Stack Deep Learning Featuring TensorF...   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=... (30 days money back guarantee) [Please check your mail 5 minutes after requesting access ] Colab Notebook for TensorFlow 2: https://colab.research.google.com/dri... Colab Notebook for PyTorch: https://colab.research.google.com/dri... Check out: Course on Deep Learning for Computer Vision: https://neuralearn.ai/course/computer... Course on Deep Learning for Natural Language Processing: https://neuralearn.ai/course/natural_... Course on Deep Learning for Image Generation: https://neuralearn.ai/course/image_ge... Course on Deep Learning for Object Detection: https://neuralearn.ai/course/object_d... Connect with us here: Twitter:   / neulearndotai   Facebook: link  / neuralearnai-107372484374170   LinkedIn   / neuralearn   Mail: [email protected]