#convolutional-neural-networks tag

From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI's Recognition Capabilities

Experts identify dog breeds using multi-level feature analysis focused on traits, unlike traditional CNNs that entangle features.

fromodsc.medium.com

5 months ago

Artificial intelligence

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation

ODSC East 2025 offers a 2-for-1 Black Friday special to foster innovation and collaboration in AI and data science.

Artificial intelligence

fromtowardsdatascience.com

1 month ago

From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI's Recognition Capabilities

Experts identify dog breeds using multi-level feature analysis focused on traits, unlike traditional CNNs that entangle features.

fromodsc.medium.com

5 months ago

Artificial intelligence

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation

ODSC East 2025 offers a 2-for-1 Black Friday special to foster innovation and collaboration in AI and data science.

more#ai

fromHackernoon

10 months ago

Data science

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Abstract and Introduction | HackerNoon

TM-CNN is an innovative method for detecting small defects in material science images, enhancing the understanding of magnetic materials.

#image-classification

fromHackernoon

9 months ago

Data science

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Excessive data augmentation can induce significant bias in model performance, differentiating among various data classes.

fromMedium

8 months ago

Data science

Introduction to CNN

CNNs use convolution as a mathematical operation, replacing general matrix multiplication in at least one layer for identifying features in images.

fromHackernoon

9 months ago

Data science

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Excessive data augmentation can induce significant bias in model performance, differentiating among various data classes.

fromMedium

8 months ago

Data science

Introduction to CNN

CNNs use convolution as a mathematical operation, replacing general matrix multiplication in at least one layer for identifying features in images.

more#image-classification

#convolutional-neural-networks#convolutional-neural-networks

From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI's Recognition Capabilities

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation

From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI's Recognition Capabilities

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Abstract and Introduction | HackerNoon

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Introduction to CNN

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Introduction to CNN

#convolutional-neural-networks
#convolutional-neural-networks