Carly Richmond
Is it (F)ake?! Image Classification with TensorFlow.js
#1about 3 minutes
Using JavaScript and ML to solve a baking show challenge
The speaker introduces the goal of using machine learning to identify hyper-realistic cakes from the TV show "Is it Cake?".
#2about 2 minutes
Collecting and balancing the cake vs not-cake dataset
Images of cakes and non-cakes are collected using Playwright and the Unsplash API to create a balanced binary classification dataset.
#3about 5 minutes
Evaluating pre-trained models for image classification and object detection
Pre-existing models like MobileNet and Coco-SSD are tested on the dataset, but they produce inaccurate and strange classifications.
#4about 6 minutes
Building a custom convolutional neural network from scratch
A custom convolutional neural network is built using TensorFlow.js sequential models and convolution layers, but it fails to accurately classify images.
#5about 5 minutes
Applying transfer learning to improve model accuracy
Transfer learning is used by combining a pre-trained MobileNet feature vector model with a custom classification head, significantly improving results.
#6about 4 minutes
Playing an interactive game to compare human and model performance
An interactive web game allows the audience to test their cake-spotting skills against the various machine learning models.
#7about 1 minute
Key takeaways and resources for getting started with TensorFlow.js
The talk concludes by summarizing the journey from using pre-existing models to applying transfer learning and provides resources for further learning.
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Matching moments
04:14 MIN
The origin of the "Is it Cake?" machine learning project
Mastering Image Classification: A Journey with Cakes
04:41 MIN
Building an image classification game inspired by "Is It Cake?"
Mastering Image Classification: A Journey with Cakes
02:40 MIN
Building a machine learning game with JavaScript
Building Your Own Classification Model with JavaScript - Coffee with Developers - Carly Richmond
03:37 MIN
Playing the "Is it Cake?" game and comparing results
Mastering Image Classification: A Journey with Cakes
03:16 MIN
Evaluating the pre-trained MobileNet image classification model
Mastering Image Classification: A Journey with Cakes
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Building a custom convolutional neural network from scratch
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03:16 MIN
First attempt using the MobileNet classification model
Mastering Image Classification: A Journey with Cakes
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