Viso.ai

JANUARY 2, 2024

VGGNet , introduced by Simonyan and Zisserman in 2014, emphasized the importance of depth in CNN architectures through its 16-19 layer CNN network. Addressing Data Scarcity and Overfitting A limited dataset can lead to overfitting, where the model performs well on a training set but poorly on unseen data.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Viso.ai

DECEMBER 6, 2023

The most common example is security analytics , where deep learning models analyze CCTV footage to detect theft, traffic violations, or intrusions in real-time. ResNet Residual Neural Networks ( ResNets ) use the CNN architecture to learn complex visual patterns. This is the result of very small gradients during backpropagation.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

John Snow Labs

AUGUST 7, 2024

Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis. A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). However as AI technology progressed its potential within the field also grew.

Generative AI 59

Generative AI AI AI Algorithm 59

John Snow Labs

FEBRUARY 29, 2024

Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis. A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). However as AI technology progressed its potential within the field also grew.

Generative AI 40

Generative AI AI AI Algorithm 40