catordog | 这是一个基于tensorflow和python的猫狗分类算法 | Machine Learning library
kandi X-RAY | catordog Summary
kandi X-RAY | catordog Summary
这是一个基于tensorflow和python的猫狗分类算法
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Top functions reviewed by kandi - BETA
- Prepare image data
- Read an image from a file
- Randomize dataset
- Concatenate dataset and labels
- Calculates the computer accuracy
- Creates a weight variable
- Bias a bias variable
- 2d convolution layer
- Max pooling op
catordog Key Features
catordog Examples and Code Snippets
Community Discussions
Trending Discussions on catordog
QUESTION
I am using the files from a video tutorial. At the beginning, it starts to spread the files of input image data by copying them in various folders. The code works in the tutorial but I wonder why I get the following error:
[Errno 22] Invalid argument: 'D:\Machine Learning\Deep Learning\SRU-deeplearning-workshop-master\catdogKaggle\train\cat.1.jpg'
Here is the code. At first it creates the directories.(The catdogKaggle\train contains the input images):
...ANSWER
Answered 2021-Mar-03 at 16:29You are on Windows which is why you need to escape the backslashes or use raw strings to store file paths, i.e.:
QUESTION
I have a file t.py
which has a class Animal
and a subclass Cat
. Both have the method foo
, which has different return types based on the value of the boolean inplace
.
Here's the file's compelte code:
...ANSWER
Answered 2021-Mar-01 at 19:55You need to allow default arguments for one of the overloads, and also set the correct type for self
in the ffill
method.
As:
QUESTION
Lets say i have an interface Animal, and i want it to have some general properties, and then either be a cat or a dog and have corresponding properties.
...ANSWER
Answered 2019-Feb-18 at 19:20If you are willing to change your code a bit, then tagged unions will be the answer you're looking for.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install catordog
You can use catordog 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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