In this video, we explain the concept of regularization in an artificial neural network and also show how to specify regularization in code with Keras

# Image Segmentation with Networks of Variable Scales Hans Peter Graf, Craig R. Nohl, Jan Ben We developed a neural net architecture for segmenting complex images, i.e., to localize two-dimensional geometrical shapes in a scene, without prior knowledge of the objects' positions and sizes. A scale variation is built into the network to deal with varying sizes. This algo(cid:173) rithm has been applied to video images of railroad cars, to find their identification numbers. Over 95% of the characlers were lo

# Creating Custom Networks for Multi-Class Classification Interactive online version: This tutorial demonstrates how to define, train, and use different models for multi-class classification. We will reuse most of the code from the Logistic Regression tutorial so if you haven’t gone through that, consider reviewing it first. Note that this tutorial includes a demonstration on how to build and train a simple convolutional neural network and running this colab on CPU may take some time. Therefore, we recom

We learned how to perform training using the layers API, how to use the compile function to prepare our model with the optimizer and loss function we are going to use, and how to use the fit function to perform the training. We later learned how to use callbacks to interrogate the model during the t…

This paper introduces Titans, a novel neural memory module that adapts at test time with surprise-based learning for improved long-context performance

Have fun building practical Deep Learning, Machine Learning, Artificial Intelligence (AI), and Computer Vision systems

Abstract page for arXiv paper 2012.13635: Logic Tensor Networks

mailitics Tag: isn Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science. Partha Sarkar Go to original source January 20, 2026 mailitics Proudly powered by WordPress

Imagine you are in the middle of an unknown town. Even if your surroundings are initially unfamiliar, you can explore around and eventually create a mental map of your environment—where the buildings, streets, signs, and ...

The ontology of social objects and facts remains a field of continued controversy. This situation complicates the life of social scientists who seek to mak