TensorFlow Tutorial 12 TensorFlow Datasets

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In this video we look at the datasets that are available to us through TensorFlow Datasets (tfds) and how we load them and then doing preprocessing, shuffling, batching, prefetching etc. For the example we load an image dataset (mnist) and a text dataset (imdb) and create simple models to do image classification and sentiment analysis. • New packages/imports we used in the video: • https://anaconda.org/conda-forge/matp... (pip install matplotlib) • https://anaconda.org/anaconda/tensorf... (pip install tensorflow_datasets) • ❤️ Support the channel ❤️ • / @aladdinpersson • 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/aladdinpe... • GitHub Repository: • https://github.com/aladdinpersson/Mac... • ✅ One-Time Donations: • Paypal: https://bit.ly/3buoRYH • ▶️ You Can Connect with me on: • Twitter - / aladdinpersson • LinkedIn - / aladdin-persson-a95384153 • Github - https://github.com/aladdinpersson • OUTLINE: • 0:00 - Introduction • 0:16 - Keras vs TFDS vs tf.data • 1:54 - Imports • 2:38 - Image Loading with TFDS • 12:59 - Text loading with TFDS • 28:15 - Results and Ending

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