Practical AI Celebrating episode 50 and the neural net!
Jul 3, 2019
The hosts celebrate a milestone while diving into the exciting world of neural networks. They share personal experiences and the evolution of AI, marking key milestones in neural network development. Various perspectives on AI are explored, emphasizing the practical tools like Jupyter Notebooks for data teams. The discussion makes complex concepts accessible, detailing how neural networks learn and adapt. Listeners are encouraged to engage with rich resources for further exploration of AI and machine learning. Join this lively conversation about the future of technology!
AI Snips
Chapters
Books
Transcript
Episode notes
Early Neural Network History
- Neural networks originated in the mid-1940s with computational models by Warren McCulloch and Walter Pitts.
- The perceptron, invented by Frank Rosenblatt in 1958, marked a key step in their development.
F-22 Avionics and Neural Nets
- Chris Benson's father used neural networks in the 1990s to solve a critical avionics problem on the F-22 fighter jet.
- This sparked Chris's early interest in neural networks and AI.
Deep Learning and AI Winter
- Deep learning and backpropagation emerged in the 1980s, enabling larger, more complex neural networks.
- The field experienced an 'AI winter' due to limitations in data and compute resources.
