Aug 25, 2025 · Learn how Google developed the state-of-the-art image classification model powering search in Google Photos. Get a crash course on convolutional neural networks, and …

Aug 25, 2025 · A breakthrough in building models for image classification came with the discovery that a convolutional neural network (CNN) could be used to progressively extract higher- and …

An introduction to the characteristics of machine learning datasets, and how to prepare your data to ensure high-quality results when training and evaluating your model.

Nov 3, 2025 · Learn how to calculate three key classification metrics—accuracy, precision, recall—and how to choose the appropriate metric to evaluate a given binary classification model.

Apr 15, 2025 · The general workflow for classification involves collecting training data, instantiating and training a classifier, classifying an image or feature collection, and estimating …

Aug 25, 2025 · Check Your Understanding: Convolution A two-dimensional, 3x3 convolutional filter is applied to a two-dimensional 4x4 input feature map (no padding added):

Aug 25, 2025 · Right: Nine new images generated from original image using random transformations. Overfitting is more of a concern when working with smaller training data sets.

Aug 25, 2025 · Exercise 1: Build a Convnet for Cat-vs.-Dog Classification In this exercise, you'll get practical, hands-on experience with convolutional neural networks. You'll build an image …

Oct 31, 2025 · This API lets you tailor to a particular use case by supporting custom image classification models from a wide range of sources. Please refer to Custom models with ML Kit …

Aug 25, 2025 · Learn how to interpret an ROC curve and its AUC value to evaluate a binary classification model over all possible classification thresholds.