[ DevCourseWeb.com ] Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection

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文件数目:102个文件
文件大小:1.07 GB
收录时间:2023-04-18
访问次数:2
相关内容:DevCourseWebUdemyDataScienceOpenCVChestXRAY-PneumoniaDetection
文件meta
  • ~Get Your Files Here !/12. Project Files and Code/code/output/CM_16_weights-018-0.1818.hdf5
    89.42 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.mp4
    80.58 MB
  • ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.mp4
    76.14 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp4
    72.41 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp4
    51 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp4
    46.84 MB
  • ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.mp4
    42.6 MB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/2. Loading an image and predicting using the model whether the person has Pneumonia.mp4
    40.14 MB
  • ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.mp4
    38.33 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp4
    37.15 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp4
    35.25 MB
  • ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.mp4
    26.77 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/2. Defining a method to plot training and validation accuracy and loss.mp4
    25.88 MB
  • ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp4
    24.6 MB
  • ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp4
    23.4 MB
  • ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.mp4
    22.29 MB
  • ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.mp4
    21.93 MB
  • ~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.mp4
    20.3 MB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.mp4
    19.81 MB
  • ~Get Your Files Here !/6. Model Building/2. About OpenCV.mp4
    17.9 MB
  • ~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.mp4
    17.07 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.mp4
    17.02 MB
  • ~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.mp4
    16.49 MB
  • ~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.mp4
    16.38 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.mp4
    15.41 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.mp4
    15.17 MB
  • ~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.mp4
    14.94 MB
  • ~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.mp4
    14.53 MB
  • ~Get Your Files Here !/5. Data Generators/1. About Data Generators.mp4
    14.48 MB
  • ~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.mp4
    12.33 MB
  • ~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).mp4
    12.01 MB
  • ~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..mp4
    11.18 MB
  • ~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_weights-016-0.2087.hdf5
    10.96 MB
  • ~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.mp4
    10.9 MB
  • ~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.mp4
    9.99 MB
  • ~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.mp4
    8.88 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/1. Creating a common method to get the number of files from a directory.mp4
    8.53 MB
  • ~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.mp4
    7.61 MB
  • ~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.mp4
    7.07 MB
  • ~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.mp4
    6.95 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.mp4
    6.08 MB
  • ~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.mp4
    5.92 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp4
    5.72 MB
  • ~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.mp4
    5.38 MB
  • ~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.mp4
    4.96 MB
  • ~Get Your Files Here !/12. Project Files and Code/code/train_MobileNet_16_modelCheckpoint_reshuffle_data (1).ipynb
    891.7 KB
  • ~Get Your Files Here !/12. Project Files and Code/code/train_CustomModel_16_conv_modelCheckpoint_reshuffle_data.ipynb
    857.83 KB
  • ~Get Your Files Here !/12. Project Files and Code/code/Detect_Pneumonia.ipynb
    697.6 KB
  • ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Normal.jpeg
    246.76 KB
  • ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Pneumonia.jpeg
    75.58 KB
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