#Article #Deep_Learning #Artificial_Intelligence #Editors_Pick #Machine_Learning #Optimization_Algorithms #Regularization
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Towards Data Science
Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning.
#Article #Deep_Learning #Bayesian_Optimization #Deep_Dives #Grid_Search #Hyper_Parameter_Tuning #Machine_Learning
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Towards Data Science
Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models
Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks.
#Article #Deep_Learning #Artificial_Intelligence #Cybersecurity #Deep_Dives #Lstm #Machine_Learning
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Towards Data Science
Detecting Malicious URLs Using LSTM and Google’s BERT Models | Towards Data Science
A progressive approach to implementing AI-powered webpage detection applications into production
#Article #Artificial_Intelligence #Agentic_Ai #AI_Agents #Deep_Learning #Editors_Pick #Programming
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Towards Data Science
Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other
Exploring how Google's A2A enables plug-and-play communication between LLM-powered agents across frameworks
#Article #Artificial_Intelligence #Computer_Vision #Deep_Dives #Deep_Learning #Neural_Network #Vision_Transformer
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Towards Data Science
Vision Transformer on a Budget
Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], you’ll notice that although this deep learning model proved to work extremely well, it requires hundreds…
#Article #Artificial_Intelligence #Data_Science #Data_Visualization #Deep_Learning #Machine_Learning #Python #Programming
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Towards Data Science
How I Automated My Machine Learning Workflow with Just 10 Lines of Python
Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.
#Article #Machine_Learning #Audio_Analysis #Deep_Learning #Editors_Pick #Geoinformatics #Raspberry_Pi #soundscape
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Towards Data Science
Audio Spectrogram Transformers Beyond the Lab
A recipe for building a portable soundscape monitoring app with AudioMoth, Raspberry Pi, and a decent dose of deep learning.
Can AI Truly Develop a Memory That Adapts Like Ours?
#Article #Artificial_Intelligence #Deep_Dives #Deep_Learning #Llm #Long_Short_Term_Memory #Memory
via Towards Data Science
#Article #Artificial_Intelligence #Deep_Dives #Deep_Learning #Llm #Long_Short_Term_Memory #Memory
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Towards Data Science
Can AI Truly Develop a Memory That Adapts Like Ours? | Towards Data Science
Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time.
I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy
#Article #Machine_Learning #Artificial_Intelligence #Data_Science #Deep_Learning #Editors_Pick #Python
via Towards Data Science
#Article #Machine_Learning #Artificial_Intelligence #Data_Science #Deep_Learning #Editors_Pick #Python
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Telegraph
I Won $10,000 in a Machine Learning Competition — Here’s My …
Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions The post I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy…
Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
#Article #Artificial_Intelligence #Deep_Dives #Deep_Learning #Machine_Learning #Multimodality #TechForLife
via Towards Data Science
#Article #Artificial_Intelligence #Deep_Dives #Deep_Learning #Machine_Learning #Multimodality #TechForLife
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Towards Data Science
Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
Transforming Independent Models into Collaborative Intelligence
Why Your Next LLM Might Not Have A Tokenizer
#Article #Large_Language_Models #Artificial_Intelligence #Deep_Learning #Editors_Pick #Llm #Tokenization
via Towards Data Science
#Article #Large_Language_Models #Artificial_Intelligence #Deep_Learning #Editors_Pick #Llm #Tokenization
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Telegraph
Why Your Next LLM Might Not Have A Tokenizer
The Tokenizer Has Been a Necessary Evil, but This Radical Approach Shows That It Might Not Be Necessary Anymore. The post Why Your Next LLM Might Not Have A Tokenizer appeared first on Towards Data…
Pipelining AI/ML Training Workloads with CUDA Streams
#Article #Machine_Learning #Artificial_Intelligence #Cuda #Deep_Learning #Mlops #Pytorch
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#Article #Machine_Learning #Artificial_Intelligence #Cuda #Deep_Learning #Mlops #Pytorch
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Towards Data Science
Pipelining AI/ML Training Workloads with CUDA Streams
PyTorch Model Performance Analysis and Optimization — Part 9