728x90 반응형 Coursera72 Neural Networks and Deep Learning (1) ▤ 목차Introduction 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 i.. 2024. 11. 12. Neural Networks and Deep Learning (0) ▤ 목차About 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 paramete.. 2024. 11. 11. Deep Learning Specialization ▤ 목차What 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 transf.. 2024. 11. 10. Probability & Statistics for Machine Learning & Data Science (25) ▤ 목차Confidence 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.. 2024. 11. 8. Probability & Statistics for Machine Learning & Data Science (24) ▤ 목차Confidence Intervals and Hypothesis testingHypothesis TestingDefining HypothesesThe null hypothesis is when nothing is happening.The alternative hypothesis is when something is happening and something we want to prove using the data.Rejecting the alternative hypothesis means we don’t have enough evidence, but it doesn’t mean we accept the null hypothesis.We are simply rejecting the hypothesi.. 2024. 11. 1. Probability & Statistics for Machine Learning & Data Science (23) ▤ 목차Confidence Intervals and Hypothesis testingQuizQ1Consider two sets of samples drawn from the same population that are randomly selected. Set X has a sample size = 10, and set Y has a sample size = 100. Which of the following statements is accurate about the confidence interval for the mean of the samples?The confidence interval for set X is larger than the confidence interval for set Y.The c.. 2024. 10. 28. 이전 1 2 3 4 5 6 ··· 12 다음 728x90 반응형
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