📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Introduction - ML on Android with MediaPipe Series

Google for Developers Beginner 2y ago

ML Fundamentals

What is AI, ML, and Deep Learning?

Google for Developers Beginner 2y ago

ML Fundamentals

Learn Web ML #webdev

Google for Developers Beginner 3y ago

ML Fundamentals

7.1: Machine Learning as a Web Engineer - putting knowledge into practice

Google for Developers Beginner 3y ago

ML Fundamentals

6.5: Dealing with edge cases in spam detection

Google for Developers Intermediate 3y ago

ML Fundamentals

6.6: Using a retrained spam detection model in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

6.1: Using models from Python in the web browser with TensorFlow.js

Google for Developers Advanced 3y ago

ML Fundamentals

6.2: Converting Python saved models with the TensorFlow.js command line converter

Google for Developers Intermediate 3y ago

ML Fundamentals

Recognize custom objects with TensorFlow.js.

Google for Developers Beginner 3y ago

ML Fundamentals

5.3: Using layers models for transfer learning

Google for Developers Beginner 3y ago

ML Fundamentals

5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

This is what we mean when we say Google Developer Experts (GDE)

Google for Developers Beginner 3y ago

ML Fundamentals

4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js

Google for Developers Intermediate 3y ago

ML Fundamentals

4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser

Google for Developers Beginner 3y ago

ML Fundamentals

4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js

Google for Developers Intermediate 3y ago

ML Fundamentals

ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons

Google for Developers Beginner 3y ago

ML Fundamentals

4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data

Google for Developers Beginner 3y ago

ML Fundamentals

4.5.1: Multi-layer perceptrons - The limits of a single neuron

Google for Developers Beginner 3y ago

ML Fundamentals

TensorFlow.js tutorial: A neuron implementation for linear regression

Google for Developers Beginner 3y ago

ML Fundamentals

4.4.2: Implement a neuron for linear regression - Importing and normalizing training data

Google for Developers Intermediate 3y ago

ML Fundamentals

4.4.1: Implement a neuron for linear regression - Training data and outliers

Google for Developers Intermediate 3y ago

ML Fundamentals

ML tutorial: How to train neurons

Google for Developers Beginner 3y ago

ML Fundamentals

4.3.1: What's a neuron?

Google for Developers Beginner 3y ago

ML Fundamentals

4.2: Gathering, refining, and using data effectively for ML model datasets

Google for Developers Beginner 3y ago

ML Fundamentals

4.1: Rolling your own Web ML models from a blank canvas

Google for Developers Intermediate 3y ago

ML Fundamentals

3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser

Google for Developers Advanced 3y ago

ML Fundamentals

Exploring Tensorflow Hub: Using pre-trained web ML models

Google for Developers Beginner 3y ago

ML Fundamentals

Tutorial: How to use raw tensorFlow.js pre-trained models in browser

Google for Developers Beginner 3y ago

ML Fundamentals

TensorFlow fundamentals: What are tensors in TensorFlow.js?

Google for Developers Beginner 3y ago

ML Fundamentals

Tutorial: Make a web-based smart camera with the COCO-SSD machine learning model in TensorFlow

Google for Developers Beginner 3y ago

ML Fundamentals

3.3.5: Make your own web based smart camera in JS - Part 5

Google for Developers Beginner 3y ago

ML Fundamentals

3.3.4: Make your own web based smart camera in JS - Part 4

Google for Developers Beginner 3y ago

ML Fundamentals

3.3.3: Build a web based smart camera in JavaScript - Part 3

Google for Developers Beginner 3y ago

ML Fundamentals

3.3.2: Make your own web based smart camera in JS - Part 2

Google for Developers Beginner 3y ago

ML Fundamentals

3.3.1: Make your own web based smart camera in JS - Part 1

Google for Developers Beginner 3y ago

ML Fundamentals

3.2: Selecting an ML model to use

Google for Developers Intermediate 3y ago

ML Fundamentals

2.5: 3 ways to use Machine Learning on the web with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

2.4: What is TensorFlow.js? (JavaScript + Machine Learning)

Google for Developers Beginner 3y ago

ML Fundamentals

Machine learning systems primer: How to train ML models

Google for Developers Beginner 3y ago

ML Fundamentals

2.2: Demystifying Machine Learning

Google for Developers Beginner 3y ago

ML Fundamentals

AI demystified: The difference between artificial intelligence, machine learning, and deep learning

Google for Developers Beginner 3y ago

ML Fundamentals

1.3: Breakdown of WebML course

Google for Developers Advanced 3y ago

ML Fundamentals

How web developers can use machine learning

Google for Developers Advanced 3y ago

ML Fundamentals

1.1: Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

Using ML to prevent the use of counterfeit money in Pakistan

Google for Developers Beginner 3y ago

ML Fundamentals

Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt

Google for Developers Advanced 3y ago

ML Fundamentals

Building drones to restore deforestation

Google for Developers Intermediate 3y ago

ML Fundamentals

Deep-dive on ARCore | Fundamentals of designing AR apps with machine learning models

Google for Developers Beginner 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Foundations and Core Concepts of PyTorch

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Natural Language Processing with Sequence Models

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Introduction to Self-Driving Cars

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Generative Deep Learning with TensorFlow

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Game Development, Data Science, and Machine Learning

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Self-paced

AI for Knowledge Workers

Opens on Coursera ↗

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Introduction to Linear Algebra and Python

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Self-paced

Apply Generative Adversarial Networks (GANs)

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K-Means Clustering 101: World Happiness Report

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Transform Audio: Extract Features & Augment Models

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📚 Coursera Course ↗

Self-paced

AI Foundations & Industry Overview for Telecommunication

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📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

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Digital Signal Processing 4: Applications

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Machine Learning with Neural Networks

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Self-paced

Predictive Modeling and Machine Learning with MATLAB

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Foundations of Deep Learning and Neural Networks

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RNN Architecture and Sentiment Classification

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GenAI for Fraud Detection and Compliance

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