@PyImageSearch

Leading deep learning educator. Tutorials and courses on #DeepLearning, #ComputerVision, #LLMs, #GenAI, #OpenCV, #Keras, #TensorFlow, #PyTorch, and many more.

 USA
pyimagesearch.com
Joined January 2014
  • Tweets11.9K
  • Following837
  • Followers24.5K
1.2KMedia
PyImageSearch retweeted
Ryan Wells
@ryanwellsr12 Sep 2024
In this tutorial you’ll discover the difference between Keras and tf.keras. You'll also learn what’s new in TensorFlow 2.0. (by @PyImageSearch) pyimagesearch.com/2019/10/21…

Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? - PyImageSearch

In this tutorial you’ll discover the difference between Keras and tf.keras. You'll also learn what’s new in TensorFlow 2.0.

pyimagesearch.com
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PyImageSearch retweeted
Aritra 🤗
@ariG234983 Sep 2024
This chapter took us (/w @ritwik_raha) more than two weeks to build. We do not expect you to digest everything at one go, but once you are through, you will be a different person altogether.
PyImageSearch@PyImageSearch3 Sep 2024
We try and join all of the dots in the fifth chapter. This is the most comprehensive chapter in the entire course. Once you are here, take regular breaks and pace yourself properly!
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PyImageSearch retweeted
Aritra 🤗
@ariG234982 Sep 2024
Evidence Lower Bound Why do we need it? Where does it come from? Why is it important for diffusion models?
PyImageSearch@PyImageSearch2 Sep 2024
Chapter 4 would be about Latent Variable Modeling. We uncover a very frequently applied concept called "ELBO" here. Also for people enquiring, we will announce our release dates very soon.
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PyImageSearch retweeted
Charchit Sharma
@charchits72 Sep 2024
Nicely written by @ariG23498 and @ritwik_raha!
PyImageSearch@PyImageSearch30 Aug 2024
The third chapter is all about forming an intuition for Generative Modeling. After understanding the idea we then talk about the path to maximum log likelihood. Our focus in the book would be on MLE as the tool to build a generative model.
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PyImageSearch retweeted
ritwik
@ritwik_raha30 Aug 2024
It isn’t about understanding every nuance of the math. Instead focus on building an intuition for using the right tools “Can you hear the music?”
PyImageSearch@PyImageSearch30 Aug 2024
The third chapter is all about forming an intuition for Generative Modeling. After understanding the idea we then talk about the path to maximum log likelihood. Our focus in the book would be on MLE as the tool to build a generative model.
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PyImageSearch retweeted
Aritra 🤗
@ariG2349830 Aug 2024
The dataset that you have has a distribution of its own. How do you mimic that distribution? Why need you need to mimic the distribution? We answer these questions in chapter three.
PyImageSearch@PyImageSearch30 Aug 2024
The third chapter is all about forming an intuition for Generative Modeling. After understanding the idea we then talk about the path to maximum log likelihood. Our focus in the book would be on MLE as the tool to build a generative model.
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PyImageSearch retweeted
ritwik
@ritwik_raha29 Aug 2024
We promise to teach Diffusion from the ground up just like we did with Attention, JAX, NeRF….
PyImageSearch@PyImageSearch29 Aug 2024
All of diffusion rests on the idea of understanding probability distributions and sampling from them. This is often overlooked in papers and such resources, as a known pre-requisite. We begin our second chapter will a primer on various probability distributions.
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PyImageSearch retweeted
Aritra 🤗
@ariG2349828 Aug 2024
Just like we promised—no pre-requisites required. We guide you through everything from the ground up. My favorite part? The 'Notations' section, which really enhances the readability of the entire chapter. 😇
PyImageSearch@PyImageSearch28 Aug 2024
In the first chapter, we focus on Random Variables. We start with an intuition and then branch off into discrete and continuous Random Variables. RVs are foundational to probability theory, and in turn, to understanding diffusion models.
a tentative table of content of the first chapter from the diffusion course from pyimagesearch

ALT a tentative table of content of the first chapter from the diffusion course from pyimagesearch

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Replying to @ariG23498 @ritwik_raha
Looking forward to it!
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PyImageSearch retweeted
Saptarshi@saptarshi_02127 Aug 2024
Replying to @ariG23498 @ritwik_raha
Waiting for the banger 🫡
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PyImageSearch retweeted
Aritra 🤗
@ariG2349827 Aug 2024
Replying to @ritwik_raha
@ritwik_raha and I have dedicated a lot of time to designing this course. Our goal isn’t to teach the latest SoTA model, but to help you understand and read papers on diffusion models. The only prerequisite? An open mind.
PyImageSearch@PyImageSearch27 Aug 2024
We're lowering the entry bar into the world of diffusion with a truly from-scratch course—no prerequisites needed! Not another "you should know KL Divergence"!
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PyImageSearch retweeted
clem 🤗
@ClementDelangue26 Aug 2024
Just crossed 200,000 free public AI datasets shared by the community on @huggingface! Text, image, video, audio, time-series & many more...
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PyImageSearch retweeted
ritwik
@ritwik_raha26 Aug 2024
Big things are coming! Stay tuned!
PyImageSearch@PyImageSearch26 Aug 2024
After a year worth of work, we will soon be releasing a course on diffusion. Watch this space for more updates!
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Replying to @PyImageSearch
Looking forward to it!
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PyImageSearch retweeted
Aritra 🤗
@ariG2349826 Aug 2024
The learning curve while building this course was huge. I will always take pride in this project.
PyImageSearch@PyImageSearch26 Aug 2024
After a year worth of work, we will soon be releasing a course on diffusion. Watch this space for more updates!
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PyImageSearch retweeted
Ryan Wells
@ryanwellsr15 Aug 2024
A tutorial on the Neural Machine Translation with the Bahdanau Attention using TensorFlow and Keras API. (by @PyImageSearch) pyimagesearch.com/2022/08/22…

Neural Machine Translation with Bahdanau's Attention Using TensorFlow and Keras - PyImageSearch

A tutorial on the Neural Machine Translation with the Bahdanau Attention using TensorFlow and Keras API.

pyimagesearch.com
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Replying to @DeveloperHarris
IIRC, @PyImageSearch was one of the first to make progress on this years ago. As a side note, his Computer Vision and Machine Learning articles are excellent.
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PyImageSearch retweeted
Ryan Wells
@ryanwellsr12 Jul 2024
Learn how to apply Optical Character Recognition (OCR) to recognize the digits on a credit card using OpenCV, Python, and template matching. (via @PyImageSearch) pyimagesearch.com/2017/07/17…

Credit card OCR with OpenCV and Python - PyImageSearch

Learn how to apply Optical Character Recognition (OCR) to recognize the digits on a credit card using OpenCV, Python, and template matching.

pyimagesearch.com
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PyImageSearch retweeted
Ryan Wells
@ryanwellsr17 Jul 2024
"In this tutorial I share how to import and setup your Ubuntu virtual machine for deep learning with Python, OpenCV, Keras, and TensorFlow." (by @PyImageSearch) pyimagesearch.com/2017/09/22…

Your deep learning + Python Ubuntu virtual machine - PyImageSearch

In this tutorial I share how to import and setup your Ubuntu virtual machine for deep learning with Python, OpenCV, Keras, and TensorFlow.

pyimagesearch.com
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PyImageSearch retweeted
Ryan Wells
@ryanwellsr20 Jul 2024
"In this blog post, I interview Gary Song, a deep learning practitioner at Unity Technologies." (by @PyImageSearch) pyimagesearch.com/2021/04/14…

An interview with Gary Song, deep learning practitioner at Unity Technologies - PyImageSearch

In this blog post, I interview Gary Song, a deep learning practitioner at Unity Technologies.

pyimagesearch.com
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