Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...
├── data/ # Raw and processed data ├── notebooks/ # Jupyter notebooks for analysis │ ├── 01-eda.ipynb # Exploratory Data Analysis │ ├── 02-preprocessing.ipynb # Data cleaning & feature engineering │ ...
Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
Abstract: Digital substations have significantly increased the accuracy of power grid operations thus advancing high efficiency and reliability in grid operations. While this advancement has brought ...
Aaron McKinley is a writer, blogger, and video game enthusiast with over six years of experience in web content and many more in playing games until the wee hours of the morning. A passion for writing ...
Abstract: This research proposes an explanatory deep learning-based music generation approach, where the output of a deep learning model is validated through a set of predefined musical rules, with a ...
This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...