Convolutional Neural Networks for Medical Images Diagnosis

CNN, Deep Learning, Medical Imaging, Transfer Learning, CNN Visualization, VGG, ResNet, Inception, Python & Keras
4.33 (184 reviews)
Udemy
platform
English
language
Data Science
category
Hussein Samma
instructor
Convolutional Neural Networks for Medical Images Diagnosis
739
students
1.5 hours
content
Jun 2020
last update
$39.99
regular price

What you will learn

To build from scratch a CNN-based medical diagnosis model.

To learn how to get and prepare medical dataset used in this work.

To understand by examples how CNN layers are working.

To learn by examples different measures which used to evaluate CNN.

To learn different techniques used to improve the performances of CNN.

To learn how to visualize CNN intermediate layers.

To learn how to deploy the trained CNN model using flask API server.

To learn how to implement all steps using python, tensorflow, and keras.

Screenshots

Convolutional Neural Networks for Medical Images Diagnosis - Screenshot_01Convolutional Neural Networks for Medical Images Diagnosis - Screenshot_02Convolutional Neural Networks for Medical Images Diagnosis - Screenshot_03Convolutional Neural Networks for Medical Images Diagnosis - Screenshot_04
Related Topics
2978688
udemy ID
4/9/2020
course created date
7/11/2020
course indexed date
Bot
course submited by