Ready-to-use examples for the Wolfram Language
Retrain an image classifier network to automatically distinguish dromedaries from camels
Compute and map the geographic coverage of a collection of satellites
Generate a QFT circuit for any number of qubits
Determine the sentiment of sentences in text
Classify images of a dataset of labeled fashion images
Import French, English, German and Spanish texts from the web to train a classifier
Find image pixels with colors near a specified color
Create a maze image by computing a shortest tour through a set of image points
Simulate dice tosses for various combinations of dice
Use image processing and geometric computation to find the gap in an image
Construct illusions for image classification networks
Quickly prototype and deploy code to a microcontroller using the Wolfram Language
Train a classifier on the writings of Shakespeare, Oscar Wilde and Victor Hugo
Restyle an image to the graphical style of another
Develop a convex hull–based algorithm to analyze the shape of gears
Identify the faces of a set of of characters in a Star Trek promotional video
Apply smoothing and quantization to a raster image to make it more suitable for vectorization
Use convexity defects to classify cells
Use networks provided in the Wolfram Neural Net Repository to automatically colorize grayscale photos
Use the neural net framework to enable powerful and user-friendly network training tools for audio objects
Use the curvature flow image filter to smooth the boundary of a snowflake
Construct the quantum circuit to estimate the eigenphase (or phase) of a given eigenvector of a unitary operator
Create a word cloud of basic food groups inspired by the USDA's MyPlate logo
Visualize the inner working of an image classification network
Detect and track an object in a video
Create a feedback controller to stabilize the mechanical system
Construct a molecule from a random sequence of atoms
Segment and classify normal and burr cells
Map countries mentioned in a Wikipedia article about elephants
Compute and plot eigenmodes of a polygon drum
Split and merge two images at different scales using image pyramids