7 11 tensorflow js color classifier animating loss

prerequisites

3. **a web browser** to run the code.

step 1: set up your environment

step 2: create the color classifier model

next, we'll write the javascript code to create a simple neural network model and train it with color data.

explanation of the code

1. **data preparation**: we create a simple dataset with color labels and their rgb values. the labels are one-hot encoded for training.

2. **model creation**: we create a sequential model with one hidden layer. the input shape is `[3]` (for rgb), and the output layer has a softmax activation function for multi-class classification.

4. **training the model**: the `trainmodel` function trains the model for a specified number of epochs and updates the chart with loss values at the end of each epoch.

step 3: run the application

2. click the "train model" button to start the training process. as the model trains, you will see the loss values plotted on the chart.

conclusion

...

#TensorFlowJS #ColorClassifier #numpy
tensorflow js
color classifier
7 11 dataset
animated loss
machine learning
neural networks
image classification
training model
data visualization
JavaScript
deep learning
real-time predictions
loss function
web-based AI
client-side ML