오블완 썸네일형 리스트형 Neural Networks and Deep Learning (1) Introduction to Deep LearningQuizQ1What does the analogy “AI is the new electricity” refer to?AI is powering personal devices in our homes and offices, similar to electricity.Like electricity started about 100 years ago, AI is transforming multiple industries.Through the “smart grid”, AI is delivering a new wave of electricity.AI runs on computers and is thus powered by electricity, but it is le.. 더보기 Neural Networks and Deep Learning (0) About this CourseIn the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters i.. 더보기 Deep Learning Specialization What you'll learnBuild and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applicationsTrain test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlowBuild a CNN and apply it to detection and recognition tasks, use neural style transfer t.. 더보기 Probability & Statistics for Machine Learning & Data Science (25) Confidence Intervals and Hypothesis testingHypothesis Testingt-DistributionWhen the data can be modeled as a Gaussian distribution with parameters $\mu$ and $\sigma^2$, the sample mean will also follow a Gaussian distribution of the same mean, but with a smaller standard deviation.If we don’t know the standard deviation, then we use T-statistics instead of Z-statistics.But using T-statistics doe.. 더보기 이전 1 2 다음
