Видео ютуба по тегу Pooling Layers

WK05 - Stanford CS231n - Image Classification with CNNs
WK05 - Stanford CS231n - Image Classification with CNNs
BUILDING A CNN: TRANSITION FROM FEATURE MAPS TO FULLY CONNECTED NETWORKS
BUILDING A CNN: TRANSITION FROM FEATURE MAPS TO FULLY CONNECTED NETWORKS
CNNs for Beginners | Convolutional Neural Networks in AI | From simple NN to GenAI | Part 3
CNNs for Beginners | Convolutional Neural Networks in AI | From simple NN to GenAI | Part 3
cnn mnist image classification - P5
cnn mnist image classification - P5
convolutional neural network layers - P3
convolutional neural network layers - P3
4 2 Common algorithms for deep learning
4 2 Common algorithms for deep learning
unit 2 pooling layer
unit 2 pooling layer
Почему сверточные нейронные сети используют максимальное объединение (визуальное объяснение)
Почему сверточные нейронные сети используют максимальное объединение (визуальное объяснение)
4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace
4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace
Lec 13 Convolution for RGB, Pooling Layer and Flatten Layer
Lec 13 Convolution for RGB, Pooling Layer and Flatten Layer
How Neural Networks Work, in Everyday Language
How Neural Networks Work, in Everyday Language
Pooling Layers Max vs Avg Pooling
Pooling Layers Max vs Avg Pooling
2.2 - Motivation for CNN & Pooling Operation | Deep Learning Explained Simply
2.2 - Motivation for CNN & Pooling Operation | Deep Learning Explained Simply
2.3 - Convolution and Pooling as an Infinitely Strong Prior | Deep Learning
2.3 - Convolution and Pooling as an Infinitely Strong Prior | Deep Learning
Pooling
Pooling
Учебное пособие № 54: Обратное распространение ошибки в сверточных нейронных сетях. Часть 2 | Глу...
Учебное пособие № 54: Обратное распространение ошибки в сверточных нейронных сетях. Часть 2 | Глу...
Tutorial-54:Backpropagation in CNN Part-2 | Telugu | Deep Learning
Tutorial-54:Backpropagation in CNN Part-2 | Telugu | Deep Learning
Conv2D Transpose Layers Explained | How AI Upscales Feature Maps
Conv2D Transpose Layers Explained | How AI Upscales Feature Maps
Convolutional Neural Network
Convolutional Neural Network
Визуальное объяснение CNN: отступы, шаг, пулинг, рецептивные поля, дилатация и архитектура слоев.
Визуальное объяснение CNN: отступы, шаг, пулинг, рецептивные поля, дилатация и архитектура слоев.
Pooling Layers in CNNs — What They Do and Why They Matter
Pooling Layers in CNNs — What They Do and Why They Matter
Урок 51: Слой пулинга и типы пулинга в сверточных нейронных сетях | Глубокое обучение
Урок 51: Слой пулинга и типы пулинга в сверточных нейронных сетях | Глубокое обучение
Tutorial-51:Pooling layer and types of pooling in CNN's | Telugu | Deep Learning
Tutorial-51:Pooling layer and types of pooling in CNN's | Telugu | Deep Learning
CNN Convolutions Explained Clearly — Filters, Padding, Stride & Feature Maps
CNN Convolutions Explained Clearly — Filters, Padding, Stride & Feature Maps
Explanation of Convolution Neural Network under 15 minutes
Explanation of Convolution Neural Network under 15 minutes