From a24ed3791357c9ffd92b9b0928b5c8cb5ba2db4f Mon Sep 17 00:00:00 2001 From: Peng Wang Date: Tue, 31 Aug 2021 16:44:13 -0700 Subject: [PATCH] Corrects link to TensorFlow NumPy in README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 45ed395ee..33884979a 100644 --- a/README.md +++ b/README.md @@ -116,7 +116,7 @@ You can learn here how Trax works, how to create new models and how to train the The basic units flowing through Trax models are *tensors* - multi-dimensional arrays, sometimes also known as numpy arrays, due to the most widely used package for tensor operations -- `numpy`. You should take a look at the [numpy guide](https://numpy.org/doc/stable/user/quickstart.html) if you don't know how to operate on tensors: Trax also uses the numpy API for that. -In Trax we want numpy operations to run very fast, making use of GPUs and TPUs to accelerate them. We also want to automatically compute gradients of functions on tensors. This is done in the `trax.fastmath` package thanks to its backends -- [JAX](https://github.com/google/jax) and [TensorFlow numpy](https://tensorflow.org). +In Trax we want numpy operations to run very fast, making use of GPUs and TPUs to accelerate them. We also want to automatically compute gradients of functions on tensors. This is done in the `trax.fastmath` package thanks to its backends -- [JAX](https://github.com/google/jax) and [TensorFlow numpy](https://tensorflow.org/guide/tf_numpy). ```python