Watch Deep Learning Performance Optimization Tutorial Video Tutorials & Courses

It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use tf.data.Dataset.prefetch(AUTOTUNE) and tf.data.Dataset.cache() methods for this purpose. They help you optimize tensorflow input pipeline performance. In this video we will go over how these two methods work and will write some code as well. Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/45_prefatch/prefetch_caching.ipynb Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO Machine learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw   🔖Hashtags🔖 #tensorflowpipeline #tensorflowprefetchdataset #tensorflowprefetchautotune #prefetchautotune #tensorflowinputpipeline #tensorflowprefetch #tensorflowdatapipeline Do you want to learn technology from me? Check https://resources.codebasics.io/DmcQdM for my affordable video courses. 🌎 Website: https://resources.codebasics.io/DmcQdM 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'. Key Highlights & Overview: Understanding <strong>Deep Learning Performance Optimization Tutorial</strong> requires clear step-by-step guidance and practical hands-on visual demonstrations. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.