In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in Convolutional Neural Network is an important part of the CNN Architecture, ...

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).

With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi equipment has ...

Abstract: Convolutional Neural Networks (CNNs), a specialized type of feed-forward deep neural network, are widely used for efficient and accurate image recognition, playing a crucial role in various ...

The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with ...

Lifelong learning has deeply underpinned the resilience of biological organisms respect to a constantly changing environment. This flexibility has allowed the evolution of parallel-distributed systems ...

Abstract: String recognition is one of the most important tasks in computer vision applications. Recently the combinations of convolutional neural network (CNN) and recurrent neural network (RNN) have ...