CogandKim

Machine Learning 머신 러닝 - How to minimize cost 관련 포스트Machine Learning 머신러닝 - ML & Deep LearningMachine Learning 머신 러닝 - Linear RegressionTensorFlow 설치 및 PyCharm 설치TensorFlow Linear RegressionTensorFlow Minimize Cost, Gradient Discent Algorithm Hypothesis and Cost- H(x) = Wx+b- cost(W,b)= 1mi=1m(H(x(i))-y(i))2 ( m = num of data)Simplified hypothesis- H(x) = Wx- cost(W)= 1mi=1m(W*x(i)-y(i))2 ( m = ..

Machine Learning 머신 러닝 - Linear Regression 관련 포스트Machine Learning 머신러닝 - ML & Deep LearningTensorFlow 설치 및 PyCharm 설치TensorFlow Linear RegressionTensorFlow Minimize Cost, Gradient Discent Algorithm Predicting exam score : regression- Using with Learning Training Set (학습된 데이터를 기반으로) Regression(data)Using Training data -> (Linear) Hypothesis - H(x) = Wx+bAnd then “Which hypothesis is better?”Linea..

Machine Learning 머신러닝 - ML & Deep Learning Basic Machine & Deep Learning with Tensorflow(Python)“GPU Technology Conference 2015” Dr. Andrew NgUnderstand basic Machine Learning(ML)- weak math & computer science background => O.K.y = Wx+b- Want to use ML as black-box with basic understanding use Tensorflow and Python Goal- Basic understanding of Machine Learnig Algorithms> Linear regression, Logis..