TensorFlow tf.svd() function can not be run on gpu, we should run it on cpu. In this tutorial, we will use a simple code to make tf.svd() run on cpu.
We often use gpu in tensorflow, which can save our lots of time. Your computer may have have installed gpu, however, do you know the gpu is suitable for tensorflow in your computer?
We often use GPU to speed up tensorflow. Do you know what gpu is installed in your windows 10 system or what version gpu is installed in your computer? In this tutorial, we will introduce you how do do.
We often use tf.train.import_meta_graph() to load a saved tensorflow model to use, however, you may find a KeyError: ‘BatchMatMulV2’. In this tutorial, we will introduce how to fix this error.
TensorFlow tf.sqrt() function may occur NaN error. In this tutorial, we will use a simple tip to fix it.
Euclidean Distance is common used to be a loss function in deep learning. In this tutorial, we will introduce how to calculate euclidean distance of two tensors.
TensorFlow tf.map_fn() method can allow us to call a function for each element in a tensor on axis = 0. In this tutorial, we will use some simple examples to help you understand and use this function.
We can use microsoft nni tool to tune hyper-parameters in deep learning. In order to start a experiment, we can use nnictl create command. However, you may find /bin/sh: 1: nnictl: not found error on ubuntu. In this tutorial, we will introduce you how to fix it.
If you use python neural network intelligence (nni) for tuning hyper-parameters, you may find the status of trial jobs may be failed. How to fix it? In this tutorial, we will discuss some tips to fix this error.
We often use anaconda to install multiple python versions in our computer. However, multiple python version environments may cause python neural network intelligence (NNI) can not be run. In this tutorial, we will fix this problem.