tensorflow-tutorial | Code for email classification in TensorFlow | Machine Learning library
kandi X-RAY | tensorflow-tutorial Summary
kandi X-RAY | tensorflow-tutorial Summary
Code for email classification in TensorFlow.
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Top functions reviewed by kandi - BETA
- Generate training data
- Extracts a feature matrix from a list of files
- Create a bag of words from input files
- Regularizes a feature matrix
- Generate input data
- Gets the feature matrix from a list of files
- Create a bag of words from file paths
- Performs regularization of feature matrix
- Import training data
- Convert a CSV file to a numpy array
- Parse command line arguments
- Predict for the given features
- Convert label to ham format
tensorflow-tutorial Key Features
tensorflow-tutorial Examples and Code Snippets
Community Discussions
Trending Discussions on tensorflow-tutorial
QUESTION
I am trying to run import tensorflow
on various tensorflow version. The one that I really want to use is 1.13.1
.
My CPU is INTEL Xeon Scalable GOLD 6126 - 12 Cores (24 Threads) 2.60GHz.
I've already searched for this error on the internet* and most of the time the work-around is to downgrade tensorflow to older versions (typically I tried 1.5.1
and it worked). Sometimes it's just unresolved**.
But it is possible to really solve the issue?
Here are my output for various versions of tensorflow.
1.13.1
ANSWER
Answered 2020-Sep-22 at 13:31I manage to find a solution.
In my case, the virtual machines are managed by PROXMOX. I had to add the following line in the VM configuration file:
QUESTION
I am trying to clone a git repository on a remote system connected via ssh. I need to connect to the VPN in order to ssh to the local machine of my organization.
I am trying to clone this git repository but I am getting SSL error,
...ANSWER
Answered 2020-Apr-12 at 13:44Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install tensorflow-tutorial
You can use tensorflow-tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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