Lesson 4.1 Understanding Machine Learning
Lesson 4.1 Understanding Machine Learning
Deep Learning and Neural Networks
Deep Learning and Neural Networks
Video: What is Deep Learning
Video: Neural Networks from the Ground Up
Facilitate a discussion using prompts:
"What similarities do you see between neural networks and the human brain?"
"How do you think deep learning impacts real-world applications like autonomous cars, voice assistants, or healthcare?"
✔️What is Deep Learning?
Deep Learning is a subset of machine learning that utilizes complex neural networks with many layers to model and understand vast amounts of data. These deep neural networks can learn from data in a way that mimics the human brain, enabling the machine to recognize patterns and make decisions and predictions accurately. Deep learning is particularly effective for tasks involving large-scale and complex data sets, such as image and speech recognition, language translation, and autonomous vehicle navigation.
✔️What is a neural network?
A neural network is a type of computer program designed to recognize patterns. It's inspired by the human brain, using a network of nodes, or "neurons," that work together to understand complex data like images, sound, and text. Just like learning strengthens certain connections between neurons in the brain, a neural network adjusts its connections between nodes based on the data it processes, getting better at making predictions or classifications.