#116 Machine Learning & Data Science Challenge 116
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
What is the difference between CNN and RNN?
CNN (Convolutional Neural Network):
• Best suited for spatial data like images. • CNN is powerful compared to RNN. • This network takes a fixed type of inputs and outputs. • These are ideal for video and image processing.
RNN (Recurrent Neural Network):
• Best suited for sequential data. • RNN supports fewer feature sets than CNN. • This network can manage arbitrary input and output lengths. • It is ideal for text and speech analysis.
