Watch Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow) Video Tutorial


Tutorial Details & Info

Tutorial Title: Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
Instructor / Channel: codebasics
Lesson Runtime: 26:16 Minutes
Publish Date: June 15, 2021
Total Students / Views: 44,449 views

Watch and learn Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow) created by codebasics. The total lesson runtime is 26:16 minutes with detailed practical demonstrations. Watch this video tutorial for free on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

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   πŸ”–HashtagsπŸ”– #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 πŸŽ₯ Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ πŸ”— Discord: https://discord.gg/r42Kbuk πŸ“Έ Instagram: https://www.instagram.com/codebasicshub/ πŸ”Š Facebook: https://www.facebook.com/codebasicshub πŸ“± Twitter: https://twitter.com/codebasicshub πŸ“ Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ πŸ“ 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'.

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πŸŽ“ Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow) taught by codebasics. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

πŸ’‘ Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow).
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by codebasics with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

πŸ“‹ Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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