Malaria Detection with Convolution Neural Networks (CNN) | CNN For Image Classification

CNN for Image Classification class is part of Machine Learning Career Track at Code Heroku. Get started in our ML Career Track for Free: http://www.codeheroku.com/ml Convolution Neural Networks are State-of-the-art architectures for Image Recognition and Classification tasks. In this class we understand why they work so well and implement a Malaria detection task using Neural Networks. Collab Notebook: https://colab.research.google.com/dri... Please check the Part-1 if you haven't seen it:    • Convolution Neural Networks  | Machine Lea...   Datasets: https://drive.google.com/drive/folder... In this live class we go over: Motivation For CNN Calculating Model Parameters Application of CNN Classic Model Architectures: AlexNet, ResNet, Google Inception, VGG Net Implementation of Malaria Detection in CNN Follow us on: Instagram:   / codeheroku   Twitter:   / codeheroku   LinkedIn:   / mihirthakkar01   Email: hello@codeheroku.com WhatsApp: +91-9967578720