Keras28 Models This is my Python package for easy build deep learning applications by using transfer learning pre trainined 28 models in easy few line code. to avoid wasting time scripting in your deep learning
in this story we will learn how to using keras28models python package for easy way to training custom dataset by usig 28 keras transefer learning pre-trainined models by using one code line .
You can read about keras models in complex code scriptining keras document for Models API .that is easy code for training your custom dataset in faster code not complex scripting code. more…
In this article, we will learn the role of computer vision in detecting people who wear the mask or not, especially as we are going through a global crisis from the outbreak of the Corona virus.
The training of the model will be on Google Colab because it was previously prepared for all training libraries deep learning and away from the problems of installation troublesome libraries
Dataset for face mask
#download dataset
!wget https://s3-us-west-2.amazonaws.com/static.pyimagesearch.com/face-mask-detection/face-mask-detector.zip
unzip dataset in the google colab root
!unzip /content/face-mask-detector.zip
import the necessary packages
from tensorflow.keras.preprocessing.image import ImageDataGenerator from tensorflow.keras.applications import MobileNetV2 from tensorflow.keras.layers import AveragePooling2D from…
Using Transfer learning with EfficientNet and MobileNetV2
Coronaviruses are a group of viruses that can cause disease, which can vary from colds and coughs to sometimes more serious diseases. Middle East Respiratory Syndrome (MERS-CoV) and SARS-CoV were severe cases the world has already faced. SARS-CoV-2 (n-coronavirus) is the new virus for the coronavirus family, first discovered in 2019, which has not been identified in humans before. It is a persistent virus that started from Wuhan in December 2019. It was later declared a pandemic by the World Health Organization because of the high prevalence rate worldwide. Currently (on May 15…
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