Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python) скачать в хорошем качестве

Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)

Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning training by streaming training samples from hard disk or S3 storage. tf.data.Dataset is the main class in tf.data api. In this video we see how tf pipeline allows not only to stream the data for training but you can peform various transformations easily by writing a single line of code. Code: https://github.com/codebasics/deep-le... Exercise: https://github.com/codebasics/deep-le... Stackoverflow article: https://stackoverflow.com/questions/5... ⭐️ Timestamps ⭐️ 00:00 Introduction 00:21 Theory 07:58 Coding 31:34 Exercise Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Deep learning playlist:    • Deep Learning With Tensorflow 2.0, Ke...   Machine learning playlist : https://www.youtube.com/playlist?list... 🔖Hashtags🔖 #tfdatapipeline #tfdatashuffle #tfdataapi #tfdataexample #tfdatadatasettutorial #tensorflowinputpipeline #deeplearningtutorial #tensorflowtutorial 🌎 Website: https://codebasics.io/ 🎥 Codebasics Hindi channel:    / @codebasicshindi   #️⃣ Social Media #️⃣ 🔗 Discord:   / discord   📸 Instagram:   / codebasicshub   🔊 Facebook:   / codebasicshub   📱 Twitter:   / codebasicshub   📝 Linkedin (Personal):   / dhavalsays   📝 Linkedin (Codebasics):   / codebasics   ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.