Numpy : its a python module/package to perform scientific computation on arrays.
How to install numpy package in anaconda
>> pip install numpy
or
>> conda install numpy
To check if numpy package is installed or not use
>> conda list
output :
>> numpy 1.14.2
Once the package is installed you can import into you application
ex : import numpy
Basic numpy operation on Array :
>>> input = np.array([[1,2,3],[2,3,4]])
>>> input.shape
>>> (2, 3)
Ex : In digit recognition using tensorflow we can get shape
import tensorflow as tf
mnist = tf.keras.datasets.mnist
import numpy as np
print( tf.__version__)
(x_train, y_train),(x_test, y_test) = mnist.load_data()
print(x_train.shape);
>> (60000, 28, 28)
print( x_train[0].shape)
Note :
1. Tensorflow | keras| framework is used.
2. Mnist database for digit recognition
How to install numpy package in anaconda
>> pip install numpy
or
>> conda install numpy
To check if numpy package is installed or not use
>> conda list
output :
>> numpy 1.14.2
Once the package is installed you can import into you application
ex : import numpy
Basic numpy operation on Array :
>>> input = np.array([[1,2,3],[2,3,4]])
>>> input.shape
>>> (2, 3)
Ex : In digit recognition using tensorflow we can get shape
import tensorflow as tf
mnist = tf.keras.datasets.mnist
import numpy as np
print( tf.__version__)
(x_train, y_train),(x_test, y_test) = mnist.load_data()
print(x_train.shape);
>> (60000, 28, 28)
print( x_train[0].shape)
>> (28, 28)
Note :
1. Tensorflow | keras| framework is used.
2. Mnist database for digit recognition
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