Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Abstract: Pedestrian trajectory prediction plays a crucial and fundamental role in many computer vision tasks. Most existing works utilize recurrent neural networks to extract temporal features from ...

This repository contains the implementation of the model Dynamic Spatial-Temporal Graph Convolutional Recurrent Network (DSTGCRN) presented in the manuscript "Dynamic Spatial-Temporal Model for Carbon ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

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 ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...