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Building and Training Basic Neural Networks

The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. Learn how to do this in steps, along with examples of logistic regression and basic image recognition.

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Channels: Virtual Events

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403 videos match your search.
Giulio Alessandrini
Markus van Almsick
Giulio Alessandrini
Giulio Alessandrini
Timothée Verdier
Tom Sherlock
This talk covers the techniques used to filter, align and stack data collected using a backyard telescope in order to reduce noise and produce reasonable image results. Wolfram Language features ...
Devendra Kapadia
This presentation gives some historical context and explanation of why asymptotics provide a powerful alternative to exact and numerical methods. Examples show the latest functions for asymptotic computations in the ...
José Luis Gómez Muñoz
In this presentation, Prof. José Luis Gómez Muñoz explains his process for building Wolfram Cloud apps for teaching calculus and engineering design. Opportunities and future ...
Suba Thomas
This talk demonstrates how the Microcontroller Kit can be used to deploy code to a robot. Control systems functionality is used to design a differential speed controller, which, along with the Arduino libraries for the relevant sensors and actuators, is deployed to ...
Neil Singer
In this presentation, Neil Singer of AC Kinetics shows how he and his team used SystemModeler and Mathematica to rapidly build and verify hardware control systems and collect instrument data ...
Jan Brugard
This talk showcases a real-world customer application for adding substantial value to dynamic error budget analysis by using 3D modeling with SystemModeler and the symbolics of the Wolfram Language.
Tuseeta Banerjee and Matteo Salvarezza
Learn how to build applications with models from the Wolfram Neural Net Repository and get an overview of some of the newest models available for classification, feature extraction, image processing, ...
Rohit Panse
Enjoy this presentation by Wolfram Summer Camp alumnus and high-school student Rohit Panse. Rohit's project determines pneumonia diagnosis by using a convolutional neural network and chest x-ray images.
Abrita Chakravarty with Kyle Keane
Learn about using Wolfram Notebooks in your courses and in the classroom to increase student engagement and promote concept exploration. Examples of computational essays from Wolfram Summer School are shared.
Kelvin Mischo
This webinar shows you ways to encourage individual concept exploration and group collaboration by sharing notebooks in the Wolfram Cloud.
Bradley Janes
This presentation introduces you to Wolfram|Alpha and shows you how to compute expert-level answers from all kinds of topic areas, with examples from science and technology, society and culture and mathematics. Next, Wolfram|Alpha step-by-step solutions are demonstrated, as well as Open Code exploration in the cloud, Wolfram Problem Generator ...