fashion_cnn

An online convolutional neural network (CNN) model for classifying fashion items.

The model is trained on the MNIST fashion dataset and implemented using the TensorFlow.js library.

The model is loaded on the client side and all calculations are made on the device.

Setup

npm run install
npm run dev #localhost:5173

dataset: MNIST (fashion) (10 000 samples)
input layer: 784 (28x28 pixels)
convolutional layers (4):
- 16(28x28)[5x5 filter] + stride[2] & max pool[2x2]
- 32(14x14)[5x5 filter] + stride[2] & max pool[2x2]
hidden layers (1): 128 neurons (ReLU activation)
output layer: 10 (Softmax activation)
optimizer: Adam
loss: categoricalCrossentropy
metrics: accuracy
epochs: 10
batch size: 512

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
.demo		.demo
.github/workflows		.github/workflows
src		src
static		static
.gitignore		.gitignore
.npmrc		.npmrc
README.md		README.md
package-lock.json		package-lock.json
package.json		package.json
postcss.config.js		postcss.config.js
svelte.config.js		svelte.config.js
tailwind.config.js		tailwind.config.js
tsconfig.json		tsconfig.json
vite.config.ts		vite.config.ts