Machine Learning
JAX in Action: Building an Image Classifier
Apply your JAX, Flax, and Optax skills to a practical project: building an image classification pipeline. This course covers setting up a multi-file project, loading and preprocessing image data (e.g., MNIST), defining a Convolutional Neural Network (CNN) with Flax, and implementing robust training and evaluation loops.
Flax
JAX
Optax
Python
4 lessons
17 practices
2 hours
Course details
Preparing Images for Neural Networks
Preparing Images for Deep Learning
Supercharging Your Data Pipeline
Preparing Data for Training
Debug Your Data Pipeline
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