Dog bread classification with CNN
Published:
About
We use convolutional neural network to classify the bread of the dog.
About the CNN from Wikipedia
In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. … They have applications in image and video recognition, recommender systems, image classification, medical image analysis, natural language processing, brain-computer interfaces, and financial time series.
In this project was not used any paper, I used provided face classifier and pre-trained network VGG-16 and Image-Net as a data set for traininig.
If you want to know more about VGG-16, check this page.
Implementation
For the implementation we will use Python3 and PyTorch.
Environment
We use Jupyter notebooks to run the code and observe the results.
Code
All code is available on the Github