Let's consider a folowing 4D matrix.
import numpy as np
W = np.random.randn(2,2,3,100)
print(W.shape)
output:
Let's consider a folowing 4D matrix.
import numpy as np
W = np.random.randn(2,2,3,100)
print(W.shape)
output:
Briefly:
np.dot
is the dot product of two matrices.
|A B| . |E F| = |A*E+B*G A*F+B*H|
|C D| |G H| |C*E+D*G C*F+D*H|
Whereas np.multiply
does an element-wise multiplication of two matrices.
For left alignment
<img align="left" width="600" height="200" src="https://www.python.org/python-.png">
For right alignment
<img align="right" width="600" height="200" src="https://www.python.org/python-.png">
And for center alignment
We can delete a key from a Python dictionary by the some following approaches.
Using the del
keyword; it's almost the same approach like you did though -
myDict = {'one': 100, 'two': 200, 'three': 300 }
print(myDict) # {'one': 100, 'two': 200, 'three': 300}
if myDict.get('one') : del myDict['one']
print(myDict) # {'two': 200, 'three': 300}
Set-up Raspberry Pi headlessly in Laptop, no HDMI no Monitor.
Some GitHub Extensions that I use. They may also enable you to improve your productivity on GitHub.
2 github-dashboard provides the ability to filter events on the Github.com activity dashboard.
Python 2.7 is the only supported version in 2.x series. Python 3.x releases follow Numpy releases. For example Python 3.3 is no longer supported by Numpy so support for it has been dropped in opencv-python, too.
Currently, builds for following Python versions are provided:
Step by step tuts to setup apache spark ( pyspark ) on linux and setup environment for deep learning with Apache Spark using Deep-Learning-Pipelines.
Run following command. Someone may need to install pip first or any missing packages may need to download.
sudo apt install python3-pip
sudo pip3 install jupyter