Convolutional Neural Networks for Medicine

Convolutional Neural Networks for Medicine, available at $54.99, has an average rating of 5, with 8 lectures, 10 quizzes, based on 3 reviews, and has 29 subscribers.

You will learn about Convolutional Neural Networks Data Augmentation Tensorflow Binary Class Predictions with percentages of each class Keras Maxpooling CV2 AI uses for Medical Imagery Creating a Train and Validation Set when the original dataset only has one folder Dealing with Overfitting Dealing with a very Small Dataset This course is ideal for individuals who are Those trying to improve their skills convolutional neural networks or Those who want to find medical uses for convolutional neural networks or Those who want to learn how to get an Image Classification model to predict test pictures or Those that want to learn ways to improve accuracy when building Image Classification models It is particularly useful for Those trying to improve their skills convolutional neural networks or Those who want to find medical uses for convolutional neural networks or Those who want to learn how to get an Image Classification model to predict test pictures or Those that want to learn ways to improve accuracy when building Image Classification models.

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Summary

Title: Convolutional Neural Networks for Medicine

Price: $54.99

Average Rating: 5

Number of Lectures: 8

Number of Quizzes: 10

Number of Published Lectures: 8

Number of Published Quizzes: 10

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Convolutional Neural Networks
Data Augmentation
Tensorflow
Binary Class Predictions with percentages of each class
Keras
Maxpooling
CV2
AI uses for Medical Imagery
Creating a Train and Validation Set when the original dataset only has one folder
Dealing with Overfitting
Dealing with a very Small Dataset

Who Should Attend

Those trying to improve their skills convolutional neural networks
Those who want to find medical uses for convolutional neural networks
Those who want to learn how to get an Image Classification model to predict test pictures
Those that want to learn ways to improve accuracy when building Image Classification models

Target Audiences

Those trying to improve their skills convolutional neural networks
Those who want to find medical uses for convolutional neural networks
Those who want to learn how to get an Image Classification model to predict test pictures
Those that want to learn ways to improve accuracy when building Image Classification models

Before starting this course you must at least have an intermediate level of python, basic understanding of convolutional neural networks, and basic knowledge of Tensorflow. By the end of this course you will learn how to train very accurate convolutional neural networks to predict test images for binary class. You know enough to where if you want to go off on your own and use your own methods how to do that. Also appropriate parameters to use as well as data augmentation methods. It is explained in this course how to train multiclass as well. Not to mention you will learn how to use CV2 when predicting an image after training the convolutional neural network. You will also learn how to train a multi class Convolutional Neural Network and predict as well. Then learn to use a Keras Load Model Function for both binary and multi class predictions. Although the videos are short they are thoroughly and simply explained. You will also learn to deal with some of the challenges in deep learning as well when it comes to small dataset size. All the datasets featured in this video are found on Kaggle, except one that I provide to you directly. I will explain why in that video. Do not worry about the quizzes if you pay attention you will easily do great. But most importantly be ready to learn. This is not is challenging as it seems. I show you how to prevent overfitting and reduce bias severely with these methods in these videos.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Pneumonia Prediction

Chapter 2: Section 2

Lecture 1: Malaria Detection

Lecture 2: Mosquito bite or Tick bite prediction

Lecture 3: Brain Tumor Detection

Chapter 3: Multi Class use cases in agriculture and Keras Load Model Function

Lecture 1: Multiclass Potato Leaf Disease Prediction

Lecture 2: How to use a Keras Load Model Function for a saved Model to predict Multiclass

Lecture 3: In case you were wondering how to use a Keras Load Model function for binary

Instructors

Marshall Trumbull
Machine Learning Engineer

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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