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.
In tensorflow, we often use sess.run() to call operations or calculate the value of a tensor. However, there are some tips you should notice when you are using it. In this tutorial, we will use some examples to discuss these tips.
Python NNI (Neural Network Intelligence) is an AutoML toolkit for automate machine learning, which is very useful to hyper-parameter tuning. In this tutorial, we will introduce how to install this tool on win10.
aclImdb is a small imdb movie review dataset, which is good choice to build an experimental model for sentiment analysis. In this tutorial, we will introduce some basci feartures for sentiment analysis beginners.
aclImdb dataset contains some small txt files, we have combined them to a big txt file (aclImdb-all.txt). In this tutorial, we will introduce you how to split this file to train, test and validation set for model learning.
There are 50,000 labeled text files in aclImdb dataset, in order to use this dataset easily, we should combine these small text files to a big one. In this tutorial, we will introduce you how to do.
When you are using tensorflow to develop ai application, you may encounter this error: Tensor must be from the same graph as Tensor. In this tutorial, we will introduce you how to fix it.
TensorFlow session is an important feature in tensorflow 1.x. What is it and how to use it correctly? In this tutorial, we will discuss these questions for tensorflow beginners.