GitHub - darlnim/Machine-Learning-Presentation-Slides: Presentation slides that I made while studying and researching at the Incheon National University Neuromorphic Computing Systems Lab for about 6 months.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Architecture, Networks, Perceptron, XOR.pdf		Architecture, Networks, Perceptron, XOR.pdf
Bayesian, Maximum Likelihood Estimation.pdf		Bayesian, Maximum Likelihood Estimation.pdf
Convolutional Neural Network.pdf		Convolutional Neural Network.pdf
Deep Neural Network.pdf		Deep Neural Network.pdf
Estimation.pdf		Estimation.pdf
Estimators, Bias, Variance.pdf		Estimators, Bias, Variance.pdf
Gradient Descent.pdf		Gradient Descent.pdf
Log Regression and Hidden Layer.pdf		Log Regression and Hidden Layer.pdf
Neural Network Codes.pdf		Neural Network Codes.pdf
Neural Networks Basic.pdf		Neural Networks Basic.pdf
Neural Networks and Deep Learning.pdf		Neural Networks and Deep Learning.pdf
Python Implementation of SNN.pdf		Python Implementation of SNN.pdf
Regularization.pdf		Regularization.pdf
Spiking Neural Network _ Korean.pdf		Spiking Neural Network _ Korean.pdf
Stochastic Gradient Descent.pdf		Stochastic Gradient Descent.pdf
Supervised Learning Algorithms.pdf		Supervised Learning Algorithms.pdf
Unsupervied Learning Algorithms.pdf		Unsupervied Learning Algorithms.pdf
Vectorization.pdf		Vectorization.pdf

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Presentation slides that I made while studying and researching at the Incheon National University Neuromorphic Computing Systems Lab for about 6 months.