Chest X-Ray Covid-19 Detection | Transfer Learning | Deep Learning | Kaggle | TensorFlow | Python

In this video, we will be building a deep learning model, that can detect whether a person has covid or not, based on the chest X-ray. These are the following things we are going to learn.

1) Connecting kaggle to Google Colab
2) Getting data from different directories
3) Random image plotting function
4) Building a deep learning model
5) Different evaluation metrics
6) Transfer Learning

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Check out my other playlist:

1) Deep Learning with TensorFlow

2) Hands-On with OpenCV

3) Image classification with Keras

4) Fake News Detection

5) Data Science Project

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[Katerinagk]

can you help me how to divide the data into 10 folds and train the model on each of these folds, calculating the accuracy, sensitivity and specificity.? THANK YOU!!

[bhavya]

Hey Sourav! Nice presentation, just a question, how are masks used in detecting the diseases?

[Katerinagk]

where can i find the folder kaggle(3).json?? thnak you

[MalikMalik-pqox]

Good bro bring more industry related problems

[rimjhimdubey]

Hey, how can I get in touch with you to further discuss this project?

[solomontaboh]

why data.append(data) and not data.append(image)? since we are appending the resized image.

[Jbennettify]

I tried to email you however it showed the email address was invalid. But have an error with the line of code
base_model = tf.keras.applications.MobileNet(input_shape=[224, 224, 3], weights = "imagenet", include_top=False)
error is : str object has no attribute decode
Very new to tensorflow so any help would be greatly appreciated

[shadmangawhar]

I had a few questions regarding this project. I have messaged you on Facebook. I hope you respond.

[MJEEVA-rf]

data=np.array(data)/255.0
img_labels=np.array(labels)
this code taking me long time but even not yet finished running