This project focuses on applying deep reinforcement learning to acquire a robust policy that allows robots to grasp diverse objects from compact 3D observations in the form of octrees. Evaluation of a ...

Google Colab has taken the data science community by storm. This powerful tool, developed by Google, allows users to write and execute Python code in a web-based environment, making it exceptionally ...

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for ...

Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep ...

Three different recurrent neural network (RNN) architectures are studied for the prediction of geomagnetic activity. The RNNs studied are the Elman, gated recurrent unit (GRU), and long short-term ...