YoVDO

Malarial Cell Classification Using CNN

Offered By: DigitalSreeni via YouTube

Tags

Convolutional Neural Networks (CNN) Courses Machine Learning Courses Python Courses TensorFlow Courses Image Processing Courses Image Analysis Courses

Course Description

Overview

Learn to classify malarial cells as parasitized or healthy using convolutional neural networks (CNN) in Python. Download the dataset from the National Library of Medicine or Kaggle, and follow along as the video guides you through installing TensorFlow, designing the network, defining layers and images, and interpreting results. Access the complete code on GitHub to enhance your understanding of this crucial medical image classification technique.

Syllabus

Introduction
Overview
Installing tensorflow
Designing the network
Input
Defining layers
Defining images
Results
Testing


Taught by

DigitalSreeni

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent