How to check keras version in anaconda
I have installed anaconda python for machine learning in my computer. Now I want to know which version of keras is installed on my system.
What is the command to find out version of keras library installed?
How to check keras version in anaconda?
February 16, 2019 at 8:53 AM
Keras is powerful machine learning library which comes with many pre-developed machine learning modes. These models can be used by developers to quickly develop intelligent deep learning applications.
You can check keras version by running following command on terminal:
python -c 'import keras; print(keras.__version__)'
Above command will print keras version and out should look like below output:
(tf12) [email protected]:~$ python -c 'import keras; print(keras.__version__)'
Using TensorFlow backend.
If you are in python terminal then its can be also checked easily.
In Python terminal with following commands:
Out of above command:
(tf12) [email protected]:~$ python
Python 3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
February 16, 2019 at 9:43 PM
November 30, 2019 at 5:26 AM
What is neural networks?
Neural networks are a type of machine learning algorithm that were first described in 1963 by the Canadian mathematician, David Rumelhart, and introduced to the computer scientist, John Backus. Now, neural networks are used to detect patterns in large quantities of data in order to solve a wide range of problems, such as image and speech recognition, image and speech analysis, natural language processing, object detection, and much more.
The structure of a neural network is made up of neurons. Each neuron is connected to one or more other neurons in a way
A neural network is a structured set of inputs and output. You can think of it like a set of spaghetti noodles. Each noodle is comprised of several long-range connections, a few short-range connections, and also some connections between the short-range and long-range.
The secret sauce of a neural network is to start with as few long-range connections as possible and run the neurons along the short-range connections. When you "cook" this soup, all the spaghetti is equally likely to turn into noodles and spaghetti noodles are
Here are more tutorials to learn TensorFlow 2.0:
December 4, 2019 at 6:11 PM
Here is TensorFlow 2.0 Course - Get training in Tensorflow 2.0 online.
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