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MLOps with Weights & Biases | PyImageSearch | Live learning
MLOps with Weights & Biases is a brand new and completely FREE course from our recent collaboration with Weights and Biases.
Enroll Now: https://pyimagesearch.mykajabi.com/offers/LQSsX59C/checkout
In this live stream, we are joined by course instructor Thomas Capelle. Thomas Capelle is a Machine Learning engineer at Weights and Biases who works on the Growth Team. He is responsible for keeping the wandb/examples repository live and up to date. He also builds content on ML-OPS, application of wandb to industry and fun deep learning in general. Previously he was using deep learning to solve short-term forecasting for solar energy at Steady Sun. So, he has a background in Urban Planning, Combinatorial Optimization, Transportation Economics and Applied Math.
The MLOps course offered by Weights & Biases is designed to provide a comprehensive understanding of implementing effective machine learning operations using their advanced platform. The course focuses on leveraging Weights & Biases' product for experiment tracking and management, utilizing a real-world lemon quality dataset as a practical example.
Throughout the course, participants learn how to seamlessly integrate Weights and Biases' toolset into their machine learning workflow, from data preprocessing to model training and deployment. The lemon quality dataset serves as a relevant case study, allowing learners to explore different aspects of MLOps, such as data versioning, hyperparameter tuning, model evaluation, and collaboration among team members.
Enroll Now: https://pyimagesearch.mykajabi.com/offers/LQSsX59C/checkout -
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Introduction to RLHF | PyImageSearch | Learn how ChatGPT works!
Souradip is currently a 2nd-year Ph.D. Computer Science Ph.D. student at the University of Maryland, College Park, working in the Foundations of Reinforcement Learning in Sequential Decision Making. He aims to develop large-scale robust algorithms for sequential decision-making tasks under practical and challenging limitations to make Safe, Fair, Robust, and Aligned to Human behavior & Preferences - bridge the Gap b/w Theory and Practice. Recently received the Outstanding Paper Award, TSRML at Neurips2022 and Outstanding Reviewer Awards, Neurips 2022, AISTATS 2023. As a part of the Ph.D. program, he has published in venues including ICML, Neurips, AAAI, CoRL, and ICRA. In the past, Souradip has worked for 3 years as a Research AI Scientist at Walmart Labs, India after completing my Masters from the Indian Statistical Institute in 2018 summa cum laude and also a Google Developers Expert in Machine Learning (2019). Co-authored several US patents and top-tier publications in the field of AI & ML applications in the NLP and Computer Vision domain as a part of Walmart Labs and GDE-ML.
The major success behind the exceptional performance of ChatGPT can be attributed to the Reinforcement Learning from Human Feedback which has significantly improved the performance of Language models. Aligning with Human Feedback is extremely critical in the current times in the context of Safety, Security, and Trustworthy AI. RLHF provides an efficient framework for alignment with only human preferences. In this session, Souradip will give an introduction to the RLHF framework and challenges and what are the next steps. -
Introduction to Keras Core with Francois Chollet | PyImageSearch | LiveStream
A public livestream about Keras Core which is multi-backend framework that supports TensorFlow, PyTorch, JAX, and NumPy with the founder of Keras - Francois Chollet.
PyImageSearch Blog Post on Keras Core: https://pyimagesearch.com/2023/07/24/what-is-keras-core/
#KerasDays #KerasCore #keras -
Introduction to KerasCV with Google Software Engineer | PyImageSearch | LiveStream
The podcast will form a significant part of the "Keras Community Days," an initiative to grow and nurture the vibrant open-source community around Keras. Here, we'll engage in meaningful discussions about open-source contributions and the best practices to embark on this rewarding journey. This is your chance to understand the open-source landscape better, interact with an expert, and even get your hands dirty with your first (or next) open-source contribution.
The first guest of this podcast is Ian Stenbit.
Ian is a software engineer at Google leading the KerasCV project, an effort to make training and serving modern computer vision models easy with Keras. Ian has worked at Google in Boulder, Colorado for 4 years. Prior to his time at Google, he completed a Masters in Computer Science + ML at Southern Methodist University. He is an avid ML practitioner and Keras user, and is a strong believer in open-source as the best way forward for the global ML community.
Follow along the podcast on your own using this colab notebook: https://colab.research.google.com/gist/ianstenbit/39579956a39aed1bd3b4caa273145141/kerascv-demo.ipynb
Directions for use:
1. Make a copy of the notebook
2. Run through with it alongside the video
3. Verify results
#KerasDays #KerasCommunityDays #LiveSTream #LiveLearning #KerasCV #Keras #TensorFlow -
Image Classification with JAX and FLAX | PyImageSearch Bonus Lesson
🔍🖼️ Welcome to "Image Classification with JAX and FLAX"! 🔍🖼️
In today's tutorial, we dive deep into the powerful combination of JAX, a high-performance machine learning library, and FLAX, a neural network library for JAX. Whether you're a beginner just starting out or an experienced developer looking to leverage these tools, this video is tailored for you.
🎯 What you'll learn:
An introduction to JAX and its capabilities.
How FLAX complements JAX for neural network development.
Step-by-step guide on setting up an image classification model.
Tips and tricks for efficient training and evaluation.
Insights into potential applications and further resources.
đź‘Ť If you found this video useful, don't forget to hit that like button, share with fellow enthusiasts, and subscribe for more content!
đź’¬ Drop your questions, thoughts, and feedback in the comments below. We love to hear from our community!
Thanks for tuning in, and keep pushing the boundaries of machine learning! 🚀 -
Training a MaskFormer Segmentation Model with @HuggingFace Transformers
In this live stream, we’ll show you how to train a MaskFormer Segmentation Model with 🤗 Transformers. We’ll load, train, and evaluate the model on a custom dataset with a few lines of code.
Don’t miss out on this opportunity to learn about the difference between the various forms of image segmentation, how MaskFormer addresses semantic segmentation with a mask classification paradigm instead of performing classic pixel-level classification, and how to use MaskFormer to perform universal image segmentation.
We’ll be joined by Alara from the @HuggingFace team, who will provide valuable insights.
You can read more about Maskformer and tuning it in this blogpost:
https://pyimagesearch.com/2023/03/13/train-a-maskformer-segmentation-model-with-hugging-face-transformers/
#huggingface #pyimagesearch #deeplearning #machinelearning -
Learning Google JAX in 2023 | Part - 2 | PyImageSearch | grad, jit, vmap, pmap
Ready to take your deep learning and machine learning game to the next level? Tune in to our LIVE stream and discover the incredible power tools of JAX! Get to grips with jax.grad, jax.jit, jax.vmap, and jax.pmap, and revolutionize your work. We're also discussing randomness with JAX, making this an unmissable event for anyone serious about #deeplearning, #machinelearning, #python, #JAX, and #google. Hit that link in the description and get ready to supercharge your skills!
Blog posts:
Part 1: https://pyimagesearch.com/2023/02/20/learning-jax-in-2023-part-1-the-ultimate-guide-to-accelerating-numerical-computation-and-machine-learning/
Part 2: https://pyimagesearch.com/2023/02/27/learning-jax-in-2023-part-2-jaxs-power-tools-grad-jit-vmap-and-pmap/
PyImageSearch University: https://pyimagesearch.com/pyimagesearch-university/ -
Introduction to Visual Sensor Fusion | PyImageSearch #sensorfusion
#PyImageSearch
#visualeffects
This video provides you with a complete tutorial on introduction to visual sensor fusion. This tutorial is meant to help you learn the basics of visual sensor fusion. We do not assume any prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video, feel free to check out https://pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so - subscribe to make sure you don’t miss any
updates, and thanks for watching, liking, and sharing our content.
TOPICS:
What is visual sensor fusion
Intuitions behind visual sensor fusion
CODE LINK:
https://pyimagesearch.com/pyimagesearch-university/#collapse27
SOCIAL MEDIA:
Facebook: https://www.facebook.com/pyimagesearch
Twitter: https://twitter.com/PyImageSearch
LinkedIn: https://www.linkedin.com/company/pyimagesearch/ -
Getting started with #EasyOCR for Optical Character Recognition
This video provides you with a complete tutorial on getting started with EasyOCR for your Optical Character Recognition project. This tutorial is meant to help you learn how to OCR with the use of EasyOCR. We do not assume any prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video, feel free to check out https://pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so - subscribe to make sure you don’t miss any
updates, and thanks for watching, liking, and sharing our content.
TOPICS:
How to OCR with EasyOCR
Begin your journey with EasyOCR
CODE LINK:
https://pyimagesearch.com/pyimagesearch-university/#collapse26
SOCIAL MEDIA:
Facebook: https://www.facebook.com/pyimagesearch
Twitter: https://twitter.com/PyImageSearch
LinkedIn: https://www.linkedin.com/company/pyimagesearch/ -
Object detection Bounding box regression with #keras , #tensorflow, #objectdetection & #deeplearning
#opencv #objectdetection #deeplearning #tensorflow #PyImageSearch
This video provides you with a complete tutorial on object detection with bounding box regression with TensorFlow and Keras. This tutorial is meant to help you learn how to detect objects with bounding box regression. We do not assume any prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video, feel free to check out https://pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so - subscribe to make sure you don’t miss any
updates, and thanks for watching, liking, and sharing our content.
TOPICS:
How to detect objects with TensorFlow and Keras
Detect objects with bounding box regression using TensorFlow and Keras
CODE LINK:
https://pyimagesearch.com/pyimagesearch-university/#collapse23
SOCIAL MEDIA:
Facebook: https://www.facebook.com/pyimagesearch
Twitter: https://twitter.com/PyImageSearch
LinkedIn: https://www.linkedin.com/company/pyimagesearch/ -
Detecting and OCR’ing Digits with #tesseract and #python | PyImageSearch | OCR Part-2
This video provides you with a complete tutorial on OCR'ing digits with Tesseract and Python. This tutorial is meant to help you learn how to OCR digits with Tesseract and Python. We do not assume any prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video, feel free to check out https://pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so - subscribe to make sure you don’t miss any
updates, and thanks for watching, liking, and sharing our content.
TOPICS:
How to OCR digits
OCR'ing digits with Tesseract and Python
CODE LINK:
https://pyimagesearch.com/pyimagesearch-university/#collapse25
SOCIAL MEDIA:
Facebook: https://www.facebook.com/pyimagesearch
Twitter: https://twitter.com/PyImageSearch
LinkedIn: https://www.linkedin.com/company/pyimagesearch/
You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
PyImageSearch YouTube Channel
You can learn Computer Vision, Deep Learning, and OpenCV.
Get your FREE 17 page Computer Vision, OpenCV, and Deep Learning Resource Guide PDF. Inside you’ll find our hand-picked tutorials, books, courses, and libraries to help you master CV and DL.