Coursera - Machine Learning(2) - Githubissues

BanSugyeong / Machine-Learning-Study

0 stars 0 forks source link

Coursera - Machine Learning(2) #2

Open BanSugyeong opened 4 months ago

BanSugyeong commented 4 months ago

Coursera - Machine Learning

Advanced Learning Algorithms

BanSugyeong commented 4 months ago

Contents

Feedback
- implementation of MSE
- implementation of RMSE
- overfitting solutions
- L1, L2 regularization
Neural Networks
- Layers
- Forward Propagation
Perceptron
- single-layer perceptron
- multi-layer perceptron
Tensorflow

BanSugyeong commented 4 months ago

Contents

Activation Functions
- Sigmoid function
- ReLU function
- ELU function
- softmax function
Multiclass Classification
- Loss function of Multiclass Classification
Back Propagation

240126_MachineLearning_BanSugyeong.pdf

BanSugyeong commented 4 months ago

Contents

Feedback
- Activation Functions
- Binary step function
- Linear activation function
- Non-linear activation function
Evaluating a model
Bias and Variance
Precision and Recall
- Trading off percision and recall
Decision tree
- Pruning and Ensemble Methods
- Impurity
Random forest

240202_MachineLearning_BanSugyeong.pdf