TensorFlow Tutorial 13 - Data Augmentation Techniques

In this video we go through how to perform data augmentation on your dataset and show two ways of doing it. The primary method is by first having a TF Dataset and applying a map augment function that is applied to each image. The second method (on newer versions of TF 2.3.0) you can make it part of your model. Links mentioned for docs mentioned in video: https://www.tensorflow.org/api_docs/python/tf/image https://www.tensorflow.org/api_docs/python/tf/keras/layers/experimental/preprocessing ❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ TensorFlow Specialization https://bit.ly/3FmEVK1 ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection ✅ One-Time Donations: Paypal: https://bit.ly/3buoRYH ▶️ You Can Connect with me on: Twitter - https://twitter.com/aladdinpersson LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/ Github - https://github.com/aladdinpersson