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

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  • Опубликовано: 19 окт 2024
  • 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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    Data: www.kaggle.com...
    Notebook: github.com/100...
    Check out my other playlist:
    1) Deep Learning with TensorFlow
    • 01- Artificial Neural ...
    2) Hands-On with OpenCV
    • Introduction to Course...
    3) Image classification with Keras
    • Convolutional Neural N...
    4) Fake News Detection
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    5) Data Science Project
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Комментарии • 21

  • @bhavya7122
    @bhavya7122 4 месяца назад

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

    • @DSNovice
      @DSNovice  4 месяца назад +1

      Hi bhavya,
      Thank you, this project is about covid detection using x-ray images only.

  • @venugopal-iz2fl
    @venugopal-iz2fl 3 года назад

    Explanation is super, thankyou

  • @Katerinagk00
    @Katerinagk00 4 месяца назад

    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!!

    • @DSNovice
      @DSNovice  4 месяца назад

      Sure, will upload a video on this

  • @MalikMalik-pq3ox
    @MalikMalik-pq3ox 3 года назад

    Good bro bring more industry related problems

  • @pietchavalala7351
    @pietchavalala7351 2 года назад +1

    Very helpful...well explained

  • @Katerinagk00
    @Katerinagk00 5 месяцев назад

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

    • @DSNovice
      @DSNovice  5 месяцев назад +1

      It’s not folder it’s API ki to directly download the dataset into google colab

  • @rimjhimdubey6660
    @rimjhimdubey6660 2 года назад +1

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

    • @DSNovice
      @DSNovice  2 года назад

      You can connect with me through mail: datasciencenovice2020gmail.com

  • @solomontaboh9286
    @solomontaboh9286 7 месяцев назад

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

    • @DSNovice
      @DSNovice  7 месяцев назад

      You are correct I have made changes in the later part of the video.

  • @Jbennett1222ify
    @Jbennett1222ify 2 года назад

    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

    • @DSNovice
      @DSNovice  2 года назад

      This is too little information to debug the error

  • @shadmangawhar4097
    @shadmangawhar4097 2 года назад

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

    • @DSNovice
      @DSNovice  2 года назад

      Yes I have responded

  • @MJEEVA-r5f
    @MJEEVA-r5f Год назад

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

    • @DSNovice
      @DSNovice  Год назад

      If the code is taking a long time to run, it could be due to the size of the arrays or the computational complexity of the operations involved. Try to use GPU