DogvsCat | Deep Learning Project with Tensorflow to identify dogs | Machine Learning library

by aysebilgegunduz Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | DogvsCat Summary

DogvsCat is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. DogvsCat has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However DogvsCat build file is not available. You can download it from GitHub.

Deep Learning Project with Tensorflow to identify dogs and cats

Support

Quality

Security

License

Reuse

Support

DogvsCat has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

DogvsCat has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DogvsCat is current.

Quality

DogvsCat has 0 bugs and 0 code smells.

Security

DogvsCat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DogvsCat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DogvsCat is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

DogvsCat releases are not available. You will need to build from source code and install.

DogvsCat has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DogvsCat and discovered the below as its top functions. This is intended to give you an instant insight into DogvsCat implemented functionality, and help decide if they suit your requirements.

Prepare image data
Read an image
Convert v to v
Concatenate dataset and labels
Randomize dataset

Get all kandi verified functions for this library.

DogvsCat Key Features

No Key Features are available at this moment for DogvsCat.

DogvsCat Examples and Code Snippets

No Code Snippets are available at this moment for DogvsCat.

Community Discussions

Trending Discussions on DogvsCat

How do i test my CNN model with an image?

Keras: batches not completed

QUESTION

How do i test my CNN model with an image?

Asked 2019-Apr-12 at 01:19

Intro/setup

I am new at programming, and i made my first CNN model from a tutorial. I have set my jupyter/tensorflow/keras up in C:\Users\labadmin

What i have understood is that i just have to put the path from labadmin in order to implement my data for testing and training.

Since i am not sure what is causing the error i have pasted the whole code and error, i think it is about the system not getting the data.

The folder with the Data set-up as following:

labadmin has a folder called data withing that there are two folders training and test

Both cat images and dog images are shuffled in both folders. There are 10000 pictures in each folder, so there should be enough:

The tutorial teaches. 1. How to create a model 2. Define your labels 3. Create your training data 4. Creating and building the layers 5. Create your testing data 6. (from what i understood) the last part of the code i have created is
validating my model.

This is the code ...

ANSWER

Answered 2019-Apr-12 at 01:19

1st: the warning messages are clear, follow it and the warning will be gone. But don't worry, you still can run your code normally if you don't.

2nd: Yes. If the model load! is not printed out, the model is not loaded, check your path to the model file.

3rd: To save model after training, use model.save("PATH-TO-SAVE"). Then you can load it by model.load("PATH-TO-MODEL").

For prediction, use model.predict({'input': X}). See here http://tflearn.org/getting_started/#trainer-evaluator-predictor

2nd question

To save and load a model, use

Source https://stackoverflow.com/questions/55625981

QUESTION

Keras: batches not completed

Asked 2018-Apr-19 at 13:00

This is code of Keras, python. When the code below is ran on Linux mint, all batches aren't completed. It is always stopped at 32nd batch like

...

ANSWER

Answered 2017-Nov-16 at 13:36

You have an error in your code, you should change your steps_per_epoch, validation_steps just like below.

Source https://stackoverflow.com/questions/47329767

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DogvsCat

You can download it from GitHub.
You can use DogvsCat 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: