Researchers propose a transfer learning strategy for fault identification of deep fault-karst #carbonate. #openaccess at https://www.sciencedirect.com/science/article/pii/S2352854025000221. #Seismicfault #Transferlearning #ArtificialIntelligence
Researchers propose a transfer learning strategy for fault identification of deep fault-karst #carbonate. #openaccess at https://www.sciencedirect.com/science/article/pii/S2352854025000221. #Seismicfault #Transferlearning #ArtificialIntelligence
Stop words?
#transgender
#transportation
#transrights
#transplantation
#translation
#transformation
#transphobia
#transferlearning
#transit
#transjoy
#translation
...
Going to be hard to remove as #Latin is everywhere in western languages 😜 ... don't want to throw yourself under a #transferbus with #wokish #redpill #cancelculture ?!
Just stay friendly and be nice to people who never harmed you - and are obviously not planning to. 🤗
How to classify Malaria Cells using Convolutional neural network
You can find link for the code in the blog : https://eranfeit.net/how-to-classify-malaria-cells-using-convolutional-neural-network/
Check out our tutorial here : https://youtu.be/WlPuW3GGpQo&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran
#Python #imageclassification #convolutionalneuralnetworks #transferlearning
https://phys.org/news/2024-12-ai-world-temperatures-3c-faster.html
(wishing this were hallucination..)
Key findings
Using #AI-based #transferlearning, the researchers analyzed data from 10 different #climatemodels to predict temperature increases and found:
‣ 34 regions are likely to exceed 1.5°C of warming by 2040.
‣ 31 of these 34 regions are expected to reach 2°C of warming by 2040.
‣ 26 of these 34 regions are projected to surpass 3°C of warming by 2060.
Barnes*, Diffenbaugh and Seneviratne
DOI10.1088/1748-9326/ad91ca
This is such a cool dataset: 22 different robots demonstrating 527 skills through a collaboration between 21 research institutions.
And the GIFs of all these different robots applying basic motor skills are adorable.
📽️ In our latest video tutorial, we will create a dog breed recognition model using the NasLarge pre-trained model 🚀 and a massive dataset featuring over 10,000 images of 120 unique dog breeds 📸.
Check out our tutorial here : https://youtu.be/vH1UVKwIhLo&list=UULFTiWJJhaH6BviSWKLJUM9sg
You can find link for the code in the blog : https://eranfeit.net/120-dog-breeds-more-than-10000-images-deep-learning-tutorial-for-dogs-classification/
Enjoy
Eran
#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks #computervision #transferlearning
Künstliche Intelligenz (KI) wird heute als eine der wichtigsten Technologien betrachtet, ähnlich bedeutend wie die Dampfmaschine damals. Professor Holger Hanselka empfiehlt, auf kleine, effiziente KI-Anwendungen zu setzen.
#kunstlicheintelligenz #mittelstand #ki #ai #transferlearning
Don’t Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning.
📎 https://arxiv.org/pdf/2401.13796
#dataleakage #machineLearning #datasplit #deeplearning #transferlearning
I came across a diagram illustrating transfer learning in the ML textbook I'm currently in the middle of, and it looked an awful lot like diagrams for natural transformations. I bet I'm not the first person to have noticed that, or the tenth. Any interesting papers I ought to read?
4M: Massively Multimodal Masked Modeling
#4MModell, #ComputerVision, #Multimodalität, #MaschinellesLernen, #NeuronaleNetze, #AIRevolution, #Bildbearbeitung, #TransferLearning, #GenerativeModelle, #ZukunftDerTechnologie
https://kinews24.de/4m-massively-multimodal-masked-modeling/
💡 Discover the power of transfer learning in machine learning! Learn about techniques, benefits, and overcoming challenges. 👩💻 Check it out: https://ak-codes.com/transfer-learning/ #MachineLearning #TransferLearning
Dive into this fascinating example of transfer learning and hyperparameter tuning for image classification tasks! 📸🎓 #MachineLearning #TransferLearning #HyperparameterTuning https://ak-codes.com/transfer-learning-example/
Proud to announce our new paper, "Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning" with Lucas Jarnac and Miguel Couceiro, accepted in #cikm2023
#knowledgeGraph #machineLearning #graphEmbedding #transferLearning #zeroShot #openScience
Contrarily to the hype, #AI is contributing to increase #carbonfootprint. I wrote a short summary, and proposed few ideas (sparse #neuralnetworks, simpler #LLM models, #neuromorphic hardware, #federatedlearning, #transferlearning)
https://alecrimi.substack.com/p/ai-carbon-footprint
#ml #sustainability
Imagine you are an AI system tasked with identifying different species of cats. You have been trained on thousands of images of cats, but when presented with a new image, you struggle to make a proper identification. Why? Because the image is slightly different from those in your training data, and you were never taught how to generalize from known examples.
#Nvidia #AI #deeplearning #GANs #transferlearning #techinnovation #automation
https://akash.mittal.blog/2023-04-26-Nvidia--Solving-AI-s-Biggest-Problem.html
Exciting news! I am thrilled to announce that my talk "How to baseline in NLP and where to go from there" has been accepted for @pyconde 2023.
I am happy to have the opportunity to share my insights and experience with the PyCon Berlin community, and I can't wait to connect with other NLP enthusiasts and professionals.
Looking forward to seeing you all there! #PyConBerlin2023 #NLP #Baselines #DataScience #MachineLearning #WeakLearning #TransferLearning
Learning fast and slow 🤖🧠⏳
Highly excited that our (long-term) work on more flexible #ReinforcementLearning and #TransferLearning is finally public.
Two separate processes enable fast, coarse adaptation and slow, but better final performance.
Trying to get a #TransferLearning #CNN to play nice with an already augmented image dataset. Consistently getting that horrid training/validation loss gap though. Think I'm going to have to run my own augmentation pipeline on the baseline images instead.
Yuk.
#Newpaper: Our work for #nlproc on segmenting conversational data is now out on @NeuripsConf (#ENLSP)
We find that reusing pre-trained feature hierarchy in a #transferlearning paradigm proves to be ineffective for topic segmentation tasks on chat data.
Topic Segmentation in the Wild:Towards Segmentation of Semi-structured & Unstructured Chats w. Harjeet S, Sharanya K, Dhuri S, Samyadeep B, Soundar S, #Umass #Microsoft
📝Paper: https://arxiv.org/abs/2211.14954
Please DM to meetup @ #NeurIPS2022 :)
Want to share a milestone on a #ml #project I’ve been working on for a while on the side. I’m working on a #computervision application for #chess to detect the game state from a photo.
I used #transferlearning to fine tune a #convolutionalneuralnetwork with a new head for #regression to predict the four corners of the board.
I found synthetic datasets online (~6k images) and labeled ~1k real photos. I trained the model with a mix of random augmentations and projections with small errors.