Mujeeb Ur Rehman’s Post

FeatUp: A Machine Learning Algorithm that Upgrades the Resolution of Deep Neural Networks for Improved Performance in Computer Vision Tasks Deep features are pivotal in computer vision studies, unlocking image semantics and empowering researchers to tackle various tasks, even in scenarios with minimal data. Lately, techniques have been developed to extract features from diverse data typ... https://lnkd.in/eG8JAPDP #AI #ML #Automation

The size of current LLMs: Based on parameter count: higher count means greater potential for understanding complex patterns and increased computational resources for training With the following models expected to launch soon, who do you think will rule the charts? Amazon Olympus - Aug 2024 Grok 2 - 2025 GPT-5 - soon Llama 3 405B - soon Gemini 2 - Nov 2024 IC: Made visual

Interested in quantization? Arun Nanda's article introduces this technique and sets the stage for exploring the journey from simpler models like BERT to advanced 1.58-bit LLMs. #LLM #ML

This one is ground breaking as now LSTM can power LLMs which can prove to be better than transformers in terms of speed and accuracy. Parallel training LSTM was issue. In future, I expect a fusion of transformer and LSTM layers can be stacked together and that can make LLMs more capable. Expecting more large context window. Expecting some more capable models will come in future which will be capable of generating algorithms on their own, based on patterns instead of just doing similarity search. Then there will be no need for ML and DL.

Excited to embark on my journey into the world of computer vision, delving into advanced ML and DL techniques. Committed to mastering image processing, Object Detection, CNNs, and state-of-the-art vision applications. etc... #MachineLearning #DeepLearning #ComputerVision

In this video Prof. Kopal presents the joint research results of the University of Siegen and the AI-Lab of the Department of Secure Information Systems of the Upper Austrian University of Applied Sciences published at HistoCrypt 2024 in Oxford in our joint paper "Cryptanalysis of Hagelin M-209 Cipher Machine with Artificial Neural Networks: A Known-Plaintext Attack":

Sharing the completion of my recent ML project. Implemented the ANN(Artificial Neural Network) model for Regression purposes on the Power Plant Output dataset in which the goal is to predict the power generated with various factors. Github: https://lnkd.in/gQ3uKtKG #machinelearning #ANN #neuralnetwork #regression

With a few tweaks, LSTMs and GRUs can leverage parallel training and compete with Transformer models https://lnkd.in/eAP3sg3S

I want to run hyperparameter tuning for a Neural Style Transfer algorithm which results in having a Check it out: https://lnkd.in/dCBxARKy Join the conversation! #googlecolaboratory #tensorflow