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In this example, we will package a CNN Application using VGG16 model

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.github/workflows
.github/workflows
 
 
VGGmodel
VGGmodel
 
 
base_log_dir/tensorboard_log_dir
base_log_dir/tensorboard_log_dir
 
 
based_log_dir/tensorboard_log_dir/train
based_log_dir/tensorboard_log_dir/train
 
 
static
static
 
 
templates
templates
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
Procfile
Procfile
 
 
README.md
README.md
 
 
VGG_16.ipynb
VGG_16.ipynb
 
 
app.py
app.py
 
 
lady.jpg
lady.jpg
 
 
original_vgg_base.h5
original_vgg_base.h5
 
 
predict.py
predict.py
 
 
requirements.txt
requirements.txt
 
 
training.py
training.py
 
 
vgg16_new.ipynb
vgg16_new.ipynb
 
 

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In this example, we will package a CNN Application using VGG16 model for classidfying Imagenet images. Where we will be able to upload the image. Then, predict from the Flask App with the uploaded images.

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In this example, we will package a CNN Application using VGG16 model

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python cnn cicd html-css-javascript keras-tensorflow vgg16-model flask-api-rest

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