Convolutional Neural Networks
Course Link Lecture 4 in Deep Learning CNN By convention, in machine learning, we usually do not bother with this flipping operation. Technically this operation is maybe better called cross-corre
Category: Data Analysis
Structuring Machine Learning Projects_Quiz
개요Coursera Deep Learning Course 3 Quiz 1. Bird Recognition in the City of Peacetopia (Case Study) Link: https://www.coursera.org/learn/machine-learning-projects/home/module/1
Structuring Machine Learning Projects
Course Lecture 3 in Deep Learning Why ML Strategy F1 score Classifier A is 90% recall: That of all of the images in, say, your dev sets that really are cats, classifier A accurately pulled out 9
Imporoving Deep Neural Networks, Hyper parameter tuning, Regularization and Optimization_Quiz
개요Coursera Deep Learning Course 2 Quiz 1.Practical aspects of Deep Learning Link: https://www.coursera.org/learn/deep-neural-network/home/module/1 2.Optimization Algorithms Link: https://w
Neural Networks and Deep Learning_Quiz
개요Coursera Deep Learning Course 1 Quiz 1.Introduction to Deep Learning Link: https://www.coursera.org/learn/neural-networks-deep-learning/home/module/1 2.Neural Network Basics Link: https://
Imporoving Deep Neural Networks, Hyper parameter tuning, Regularization and Optimization
Course Lecture 2 in Deep Learning Regularization useful technique for reducing variance. There is a little bit of a bias variance tradeoff when you use regularization. It might increase the bias a li
Neural Networks and Deep Learning
Course Lecture 1 of Deep Learning Course Derivatives https://community.deeplearning.ai/t/derivation-of-dl-dz/165 vectorizing logistic regression Why we like to use that cost function for logistic re
Unsupervised Learning, Recommenders, Reinforcement Learning
Course Lecture 3 in Machine Learning course Unsupervised Learning1. clustering Usage: Grouping similar news, DNA analysis, Astronomical data analysis k-means algorithm local minimum Occurs when
Advanced Learning Algorithms
Course Lecture 2 in Machine Learning Course Neural Networks matrix multiplication: it is a binary operation that takes a pair of matrices and produces another matrix. It is defined as the product of
Supervised Machine Learning, Regression and Classification
Course Lecture 1 in Machine Learning Course Regression with multiple input variables1. vectorization Many CPUs have “vector” or “SIMD” instruction sets which apply the same operation simultaneously