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    Convolutional Neural Networks for Medical Images Diagnosis

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 449 1799

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 449  ₹1,799
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Introduction

    • Outlines

    Getting and Preparing Data

    CNN Architecture

    • Overview of CNN Architecture
    • CNN Convolutional Layer
    • CNN ReLU Activation
    • CNN Max-pooling Layer
    • CNN Flattening Layer
    • CNN Fully Connected Layer
    • CNN Softmax Classifier

    CNN Training

    • Data Normalization
    • Cross Entropy Loss function
    • CNN Backpropagation
    • Python Implementation of CNN Training

    CNN Evaluation

    • Performance Measures
    • ROC Curve
    • Python Implementation of CNN Evaluations

    CNN Improvement

    • CNN Hyper-Parameters Tuning
    • Analyse the effect of pooling layer.
    • Using Different Optimizers
    • Data Augmentation
    • Using Dropout Regularization
    • Batch Normalization
    • Leaky ReLU Activation
    • Early Stopping

    CNN Transfer Learning

    • Transfer Learning using Oxford VGG Network
    • Transfer learning with shallow VGG network
    • Transfer Learning using Microsoft ResNet Network
    • Transfer Learning using Google Inception Network

    CNN Visualization

    • CNN Layers Visualization

    CNN Deployment

    • CNN Model Deployment

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