If you're a company that uses Keras and you face this use case (large scale adapt() of Keras preprocessing layers), would you consider working with us to implement it? We're a small team and we don't have the resources for this at this time…
MACHINE LEARNING
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TensorFlow Graph Performance Eliminates Python Slowness Issues
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The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.
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Keras Preprocessing Layers: High-Performance In-Graph Implementation
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All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.
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T5 and CLIP Embeddings: Superior Combined Performance Analysis
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They ablate the embeddings in the paper and found that T5 and CLIP together are superior to either on their own. Not clear just how much difference it makes on text though… Imagen is bigger than SD, hard to disentangle the size from embedding on text. Good hypothesis though!
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AI-Assisted Diagnostics: The Future of Cancer Detection
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#AI Assisted Diagnostics: The Future of Cancer Detection via @insightdottech https://
insight.tech/health/ai-assi
sted-diagnostics-the-future-of-cancer-detection?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-sinnott
… #Health #HealthTech #MachineLearning #AI #IoT #5G #CES2023 #ITinfluencer #IntelPartner @Inteliot @DeepLearn007 @sminaev2015 @Innov_Medicine @vlamers @LEAD_Coalition @_atanas_ -
Building Machine Learning Systems: Complete Components Overview
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Building machine learning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API At @abacusai we help you with this! -
LearnOpenCV Shares Funny Computer Vision Meme Post
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Here is something to make your Friday a “meme-orable” one! #memes #learnopencv #meme #opencv #computervision #funny #aimemes
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Machine Learning Model Development for Predictive Maintenance
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Developing a #MachineLearning model for #PredictiveMaintenance. By @ingliguori New article is on the way! #DigitalTransformation #Cloud #BigData #Industry40 #cybersecurity #Blockchain #DX #Analytics #AI #IIoT #DataScience #IoT #IoTPL #SmartManufactory #RPA #Robotics #ModelOps
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280+ Machine Learning Projects Solved and Explained with Python
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280+ #MachineLearning Projects Solved & Explained using #Python https://
medium.com/coders-camp/23
0-machine-learning-projects-with-python-5d0c7abf8265
… #IoT #100DaysOfCode #programming #CodeNewbie #reactjs #bugbounty #DataScience #gamedev #BigData #Analytics #Cloud #OpenSource #AI #5G #API #DEVCommunity #CES2023 #FutureOfWork @amankk_9pi -
AI vs Machine Learning vs Deep Learning: Understanding the Differences
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#AI Vs #MachineLearning Vs #DeepLearning
Via @kenovy_it Artificial Intelligence aids in creating intelligent machines.
ML is a subset of AI used to build AI-driven applications.
DL is a subset of ML, it uses massive sets of #data and complex algorithms to train models.