~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