ICDSS Machine Learning Workshop Series: Neural Networks
source scripts/setup.sh
ICDSS Machine Learning Workshop Series: Neural Networks
- Linear Models
- Scientific Python (NumPy & SciPy)
- Calculus (Chain Rule, Partial Derivatives)
- Linear Algebra (Matrix Operations)
In this workshop we will cover the fundamental theory and applications of Neural Networks.
We will derive the Bacpropagation Learning Algorithm and implement a network using NumPy,
exploiting computational graph theory.
The Neural Network approximator will be compared to a simple Linear Model on a binary classification application
for Computer Vision.
Neural Networks
Computer Vision: Binary Classification
Neural Network from Scratch (
NumPy)
- Follow
Pythonsetup environment, according toDocsrepocitory. - Run
source scripts/setup.shcommand.
MIT License
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