PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase

Welcome to this neural network programming series. In this episode, we will see how we can speed up the neural network training process by utilizing the multiple process capabilities of the PyTorch DataLoader class. The DataLoader supports both map-style and iterable-style datasets with single- or multi-process loading, customizing loading order and optional automatic batching (collation) and memory pinning. num_workers (int, optional) – how many subprocesses to use for data loading. 0 means that the data will be loaded in the main process. (default: 0) 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:30 Help deeplizard add video timestamps - See example in the description 06:08 Collective Intelligence and the DEEPLIZARD HIVEMIND 💥🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎💥 👋 Hey, we're Chris and Mandy, the creators of deeplizard! 👉 Check out the website for more learning material: 🔗 https://deeplizard.com 💻 ENROLL TO GET DOWNLOAD ACCESS TO CODE FILES 🔗 https://deeplizard.com/resources 🧠 Support collective intelligence, join the deeplizard hivemind: 🔗 https://deeplizard.com/hivemind 🧠 Use code DEEPLIZARD at checkout to receive 15% off your first Neurohacker order 👉 Use your receipt from Neurohacker to get a discount on deeplizard courses 🔗 https://neurohacker.com/shop?rfsn=6488344.d171c6 👀 CHECK OUT OUR VLOG: 🔗 https://youtube.com/deeplizardvlog ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Tammy Mano Prime Ling Li 🚀 Boost collective intelligence by sharing this video on social media! 👀 Follow deeplizard: Our vlog: https://youtube.com/deeplizardvlog Facebook: https://facebook.com/deeplizard Instagram: https://instagram.com/deeplizard Twitter: https://twitter.com/deeplizard Patreon: https://patreon.com/deeplizard YouTube: https://youtube.com/deeplizard 🎓 Deep Learning with deeplizard: Deep Learning Dictionary - https://deeplizard.com/course/ddcpailzrd Deep Learning Fundamentals - https://deeplizard.com/course/dlcpailzrd Learn TensorFlow - https://deeplizard.com/course/tfcpailzrd Learn PyTorch - https://deeplizard.com/course/ptcpailzrd Natural Language Processing - https://deeplizard.com/course/txtcpailzrd Reinforcement Learning - https://deeplizard.com/course/rlcpailzrd Generative Adversarial Networks - https://deeplizard.com/course/gacpailzrd 🎓 Other Courses: DL Fundamentals Classic - https://deeplizard.com/learn/video/gZmobeGL0Yg Deep Learning Deployment - https://deeplizard.com/learn/video/SI1hVGvbbZ4 Data Science - https://deeplizard.com/learn/video/d11chG7Z-xk Trading - https://deeplizard.com/learn/video/ZpfCK_uHL9Y 🛒 Check out products deeplizard recommends on Amazon: 🔗 https://amazon.com/shop/deeplizard 🎵 deeplizard uses music by Kevin MacLeod 🔗 https://youtube.com/channel/UCSZXFhRIx6b0dFX3xS8L1yQ ❤️ Please use the knowledge gained from deeplizard content for good, not evil.