Machine Learning3059 Videos

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08:49

TensorFlow Serving performance optimization

Wei Wei, Developer Advocate at Google, shares general principles and best practices to improve TensorFlow Serving performance. He discusses how to improve the latency for API surfaces, batching, and more parameters that you can tune. Resources: TensorFlow Serving performance guide → https://goo.gle/3zW168E Profile Inference Requests with TensorBoard → https://goo.gle/3zWjluJ TensorFlow Serving batching configuration → https://goo.gle/3xT2SVz […]
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01:17

Find your next Python or ML job with my new job board!

Job board: https://pythonengineer.pallet.com I launched a job board for our Python community with exciting roles in Software Engineering, Machine Learning, and Dev Rel! ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 Twitter – https://twitter.com/python_engineer ✉️ Newsletter – https://www.python-engineer.com/newsletter 📸 Instagram – https://www.instagram.com/patloeber 🦾 Discord: https://discord.gg/FHMg9tKFSN ▶️ Subscribe: https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ 🅿 Patreon – https://www.patreon.com/patrickloeber […]
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07:27

Advanced features on TensorFlow Serving

Wei Wei, Developer Advocate at Google, shares several advanced TensorFlow Serving features (experimental). Learn how TF Serving can tend JAX models, serve non-TensorFlow models with new servables, and remotely predict RPC with distributed serving. Resources: TF Serving model server parameters → https://goo.gle/3tQ99Qq Intro to JAX: Accelerating Machine Learning research → https://goo.gle/3xOKBsq Convert JAX models to […]
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01:30:31

Accelerating Your AI Career

Welcome! – This is an interactive panel discussion on Accelerating Your AI Career. In this session, you will meet industry and academic leaders, and hear their stories and insights on career professional development in AI and the future of AI. Special thanks to Coursera and Stanford Online for co-hosting the event with us! We will […]
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10:32

What Lightning Apps Can Do

This is an excerpt from the opening keynote at Lightning DevCon featuring Lightning AI Tech Lead Thomas Chaton. Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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17:18

Lightning AI Frameworks

This is an excerpt from the opening keynote at Lightning DevCon featuring Lightning AI CTO Luca Antiga. Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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00:39

Why Python has no REAL private methods! #shorts

Learn why Python has no real private methods! Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ : https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 Twitter – https://twitter.com/python_engineer ✉️ Newsletter – https://www.python-engineer.com/newsletter 📸 […]
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09:50

Mars Petcare & Lightning AI

This is an excerpt from the opening keynote at Lightning DevCon featuring Mars Sr. Director of Technology Mark Parkinson. Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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11:02

HTTPX Tutorial – A next-generation HTTP client for Python

In this Python Tutorial we learn about HTTPX, a modern HTTP client for Python with async support. Resources: https://www.python-httpx.org/ https://www.twilio.com/blog/asynchronous-http-requests-in-python-with-httpx-and-asyncio Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber […]
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09:07

Lightning AI Infrastructure

This is an excerpt from the opening keynote at Lightning DevCon featuring Lightning AI Director of Engineering Noha Alon. Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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06:01

How to Build Apps on Lightning AI

This is an excerpt from the opening keynote at Lightning DevCon featuring Lightning AI Product Manager Eden Afek. Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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10:31

3D MRI brain segmentation – Made with TensorFlow.js

With a background in image processing and Machine Learning, Mohamed Masoud created ”Brain Chop”, a web-based end-to-end solution that can perform 3D MRI brain segmentation using TensorFlow.js. Learn how this tool is not only changing the world of medicine but how people interact with medical technology with its simple, user-friendly interface. Try it for yourself: […]
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39:05

Introducing Lightning AI

Learn how you can build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which “glue” together your favorite ML lifecycle tools: https://lightning.ai/ Source of this PyTorch Lightning Video
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05:51

TensorFlow Serving client examples

Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to TensorFlow serving backend with Python and C++. Don’t worry if your client uses another language, below there are new sets of codelabs covering web, Android, Flutter, and iOS frontends. Codelabs Image Classification with TensorFlow Serving (Web) → https://goo.gle/3tQfqMb […]
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06:18

Hugging Face Train a Model (11.4)

Hugging Face transformer models can be used as a starting place to train and fine tune models of your own. This video demonstrates how to train and fine tune Hugging Face models. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_11_04_hf_train.ipynb Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/ Follow Me/Subscribe: https://www.youtube.com/user/HeatonResearch https://github.com/jeffheaton Tweets by jeffheaton Support Me on Patreon: https://www.patreon.com/jeffheaton Source of this […]
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06:34

Deploying production ML models with TensorFlow Serving overview

Wei Wei, Developer Advocate at Google, overviews deploying ML models into production with TensorFlow Serving, a framework that makes it easy to serve the production ML models with low latency and high throughput. Learn how to start a TF Serving model server and send POST requests using the command line tool. Wei covers what it […]
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11:58

The “spell check” of design systems – Made with TensorFlow.js

Meet Joo Hyung Park, a software engineer and product designer, from South Korea who is working on the “spell check” of design systems. His project, Figma ML, uses TensorFlow.js to go through four checkpoints to recognize key elements of UI design using a custom object detection API to determine if there are any design issues […]
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10:09

DeepMind Makes Prototyping Papers Easy with ACME

DeepMind’s ACME framework makes implementing deep reinforcement learning agents incredibly easy. By using a modularized approach to agent design, agents can be scaled from a single thread up to hundreds easily. In this video I’ll give you a brief overview of how all the pieces fit together. Learn how to turn deep reinforcement learning papers […]
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725
01:36:58

Learn PyTorch for deep learning in a day. Literally.

Welcome to the most beginner-friendly place on the internet to learn PyTorch for deep learning. All code on GitHub – https://dbourke.link/pt-github Ask a question – https://dbourke.link/pt-github-discussions Read the course materials online – https://learnpytorch.io Sign up for the full course on Zero to Mastery (20+ hours more video) – https://dbourke.link/ZTMPyTorch Below are the timestamps/outline of the […]
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00:27

How to find N-Largest and N-Smallest Numbers in Python!

Quick Python tip how to efficiently find the n largest or smallest numbers of a List. A note from the official docs: “The latter two functions perform best for smaller values of n. For larger values, it is more efficient to use the sorted() function. Also, when n==1, it is more efficient to use the […]
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09:33

Ep10: Python Classes and Object-Oriented Programming

Learn the basic idea behind object oriented-programming in Python. Object-oriented programming is one of the essential concepts behind using Python at its full potential, and it’s one of the cornerstones of modern machine learning deep learning frameworks like scikit-learn and PyTorch. Follow Sebastian: https://twitter.com/rasbt Follow William: https://twitter.com/_willfalcon More Learning materials: https://www.pytorchlightning.ai/edu/engineering-class. Learn with the community: […]
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12:33

Schedule Python Scripts with GitHub Actions FOR FREE | Python Automation

Learn how to schedule Python scripts with GitHub Actions FOR FREE in this Python Automation tutorial! 💻Starter files: https://github.com/python-engineer/python-github-action-template 🎦 Cron job Tutorial: https://youtu.be/5bTkiV_Aadc ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks […]