Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Abstract: Analyzing public information from social networking sites could produce exciting results and insights on the public opinion of almost any product, service, or behaviour. One of the most ...
Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
A Python program that tests network connectivity and latency to any host or IP address. The tool performs comprehensive network diagnostics and outputs results to a text file.
Python library for differentiable linear algebra with block-sparse tensors, supporting abelian symmetries. It supports a range of Projected Entangled Pair States (PEPS) and Matrix Product States (MPS) ...