We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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, ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

A neural network? In my Game Boy? It's more likely than you think. This is a demonstration of neural network (NN) inference on a Game Boy. First, a small NN is trained on a modified version of the ...

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 ...

1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 College of Medical Imaging, Jiading District Central Hospital Affiliated Shanghai ...

Abstract: As handwritten digit recognition is one of the most complex tasks in pattern detection for a machine, many works were done and many methods were applied to solve this problem. But, ...