4.4.3: Implement a neuron for linear regression - Model creation and training

Channel:
United States Google for Developers
Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=aJ2IM6iy8y0


Duration: 12:56
469 views
14

Learn how to implement your first TensorFlow.js model by defining and training the model from the data explained in the prior videos to solve a linear regression problem using a single neuron capable of running in JavaScript in the web browser.

Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → https://goo.gle/developers

Connect with Jason Mayes to ask questions:
LinkedIn → https://goo.gle/3GwgeLw
Twitter →https://goo.gle/3Xh6MT7
Discord →https://goo.gle/3WWVO5t

Use #WebML to share your learnings and creations from this course to meet your peers on social media!

See what others have already made with Web ML → http://goo.gle/made-with-tfjs



Other Videos By Google for Developers


2023-02-075.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js
2023-02-06Google Summer of Code 2023 #Shorts
2023-02-06Google Summer of Code 2023, Cloud Workstations, and more dev news
2023-02-06What does it mean to be a Google Developer Expert (GDE)?
2023-02-064.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
2023-02-064.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
2023-02-064.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js
2023-02-064.6.1: Multi-layer perceptrons for classification
2023-02-064.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
2023-02-064.5.1: Multi-layer perceptrons - The limits of a single neuron
2023-02-064.4.3: Implement a neuron for linear regression - Model creation and training
2023-02-064.4.2: Implement a neuron for linear regression - Importing and normalizing training data
2023-02-064.4.1: Implement a neuron for linear regression - Training data and outliers
2023-02-064.3.2: How to train a neuron?
2023-02-064.3.1: What's a neuron?
2023-02-064.2: Gathering, refining, and using data effectively for ML model datasets
2023-02-034.1: Rolling your own Web ML models from a blank canvas
2023-02-02Interview with Pavlo Stavytskyi, Android contributor to Google Dev Library
2023-01-192023 Solution Challenge: Global kick-off event
2023-01-17Google for Startups Accelerator: Climate change #Shorts
2023-01-1717 Days of Flutter, optimizing TensorFlow Processors, and more dev news!


Tags:
Google
developers
machine learning for web developers
ml for web developers ml web dev
web machine learning
web ml
tensorflow
tensorflow.js
machine learning course
tensorflow.js course
machine learning courses for web developers
introduction to machine learning with javascript