Unlocking Neural Networks with JAX
Welcome back to our Unlocking with JAX series! Today, we’re getting hands-on with neural networks by building a multilayer perceptron (MLP) using JAX. JAX sits perfectly between the lower-level, details of CUDA and the higher-level abstractions offered by frameworks like Keras, offering both clarity and control. This balance helps immensely in understanding the inner workings […]
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