Udemy - Data Science - CNN And OpenCV - Chest XRAY-Pneumonia Detection

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Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia DetectionUdemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection

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Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection.torrent
CATEGORY
Other
INFOHASH
088a40043f01282ebd6256ce50aa8218b35c44f5
SIZE
1.1 GB in 98 files
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Uploaded on 07-05-2022 by our crawler pet called "Spidey".
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Description

Data Science: CNN & OpenCV : Chest XRAY-Pneumonia Detection



https://DevCourseWeb.com

Last Updated 02/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 44 lectures (2h 13m) | Size: 1.08 GB

A practical hands on Deep Learning Project on building a Pneumonia Detection model using Tensorflow, CNN and OpenCV

What you'll learn
Data Analysis and Understanding
Data Augumentation
Data Generators
Model Checkpoints
CNN and OpenCV
Pretrained Models like MobileNetV2
Compiling and Fitting a customized pretrained model
Model Evaluation
Model Serialization
Classification Metrics
Model Evaluation
Using trained model to detect Pneumonia using Chest XRays

Requirements
Basics knowledge of Python, Neural Networks and OpenCV is recommended

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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp45.7 MB
~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.srt1.6 KB
~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.mp415.2 MB
~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.srt3.5 KB
~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.mp415.4 MB
~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.srt4.8 KB
~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.mp422.3 MB
~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.srt4.5 KB
~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.mp47 MB
~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.srt1.6 KB
~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.mp414.5 MB
~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.srt2.7 KB
~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.mp438.3 MB
~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.srt7.6 KB
~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.mp414.9 MB
~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.srt2.9 KB
~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.mp47.1 MB
~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.srt1.5 KB
~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.mp419.8 MB
~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.srt3.6 KB
~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.mp440.1 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.srt6.3 KB
~Get Your Files Here !/12. Project Files and Code/1. Full Project Code.html78 B
~Get Your Files Here !/12. Project Files and Code/code/Detect_Pneumonia.ipynb697.6 KB
~Get Your Files Here !/12. Project Files and Code/code/Kaggle Link_chest-xray-pneumonia.txt61 B
~Get Your Files Here !/12. Project Files and Code/code/output/CM_16_weights-018-0.1818.hdf589.4 MB
~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_TrainingHistoryPlot.png24.7 KB
~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_weights-016-0.2087.hdf511 MB
~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Normal.jpeg246.8 KB
~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Pneumonia.jpeg75.6 KB
~Get Your Files Here !/12. Project Files and Code/code/train_CustomModel_16_conv_modelCheckpoint_reshuffle_data.ipynb857.8 KB
~Get Your Files Here !/12. Project Files and Code/code/train_MobileNet_16_modelCheckpoint_reshuffle_data (1).ipynb891.7 KB
~Get Your Files Here !/12. Project Files and Code/code/utils/config.py1.1 KB
~Get Your Files Here !/12. Project Files and Code/code/utils/conv_bc_model.py2.7 KB
~Get Your Files Here !/12. Project Files and Code/code/utils/create_dataset.py1.8 KB
~Get Your Files Here !/12. Project Files and Code/code/utils/getPaths.py1 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.mp417 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.srt5.6 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.mp46.1 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.srt1.5 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.mp480.6 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.srt16 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp472.4 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.srt14.3 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp437.2 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.srt6 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp451 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.srt10.3 KB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp446.8 MB
~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.srt7.8 KB
~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.mp48.5 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.srt1.5 KB
~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.mp425.9 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.srt4.7 KB
~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp435.2 MB
~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.srt6.3 KB
~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.mp417.1 MB
~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.srt3.3 KB
~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp424.6 MB
~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.srt4.3 KB
~Get Your Files Here !/5. Data Generators/1. About Data Generators.mp414.5 MB
~Get Your Files Here !/5. Data Generators/1. About Data Generators.srt3.2 KB
~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp423.4 MB
~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.srt4.3 KB
~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).mp412 MB
~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).srt2.5 KB
~Get Your Files Here !/6. Model Building/2. About OpenCV.mp417.9 MB
~Get Your Files Here !/6. Model Building/2. About OpenCV.srt2.8 KB
~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.mp410 MB
~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.srt2.1 KB
~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.mp47.6 MB
~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.srt1.7 KB
~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.mp416.4 MB
~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.srt1.7 KB
~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.mp420.3 MB
~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.srt2.9 KB
~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.mp48.9 MB
~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.srt1.7 KB
~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.mp426.8 MB
~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.srt3.7 KB
~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.mp476.1 MB
~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.srt13.3 KB
~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.mp416.5 MB
~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.srt3.2 KB
~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.mp45 MB
~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.srt1.5 KB
~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..mp411.2 MB
~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..srt2.4 KB
~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.mp410.9 MB
~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.srt2.1 KB
~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.mp412.3 MB
~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.srt2.3 KB
~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.mp45.9 MB
~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.srt1.5 KB
~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.mp421.9 MB
~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.srt4 KB
~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.mp45.4 MB
~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.srt1.4 KB

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