Machine Learning Guide
A machine learning podcast teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models, neural networks, math, languages, frameworks, etc. Where visual ML resources provide the trees, I provide the forest. Podcasts are a great supplement during exercise, commute, chores, etc.
MLG 025 Convolutional Neural Networks
Oct 30, 2017
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Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling.
Try a walking desk to stay healthy while you study or work!
Resources
Resources best viewed here
Stanford CS231n: Convolutional Neural Networks for Visual Recognition
Computer Vision: Algorithms and Applications
Joseph Redmond CV + YOLO class
Show Notes
See resources on Deep Learning episode.
- One-time donations w/ BTC / PayPal
- Image recognition, classification - computer vision
- ML takeover
- Final main network (MLP, RNN, CNN)
- Don't use MLP for images, use CNNs
- Filters -> feature maps -> convolutional layers
- Window, stride, padding
- Max-pooling
- Architectures (ILSVRC ImageNet Challenge)
- LeNet-5
- AlexNet
- GoogLeNet
- Inception
- Resnet
- etc..