Machine Heart reports Author: Danjiang Coursera has just launched a special course on GAN, which you might consider taking during this National Day holiday. Generative Adversarial Network (GAN) is one of the most powerful machine learning models today, capable of generating realistic images, videos, and audio outputs. Applications based on GAN are extensive, such as … Read more
Click on the “AI有道” above to select the “Star” public account Heavyweight content delivered first-hand This article is adapted from DataWhale Training techniques are very important for deep learning. As a highly experimental science, the same network structure trained with different methods can yield significantly different results. Here, I summarize my experiences over the past … Read more
From | DataWhale Training techniques are very important for deep learning. As a highly experimental science, even the same network architecture trained with different methods can yield significantly different results. Here, I summarize my experiences from the past year and share them with everyone. I also welcome additions and corrections. Parameter Initialization Any of the … Read more
Click on the “Datawhalee” above to select the “Starred“ public account Get valuable content at the first time Training techniques are very important for deep learning. As a highly experimental science, using different training methods on the same network structure can yield significantly different results. Here, I summarize my experiences from the past year and … Read more
Please click on the four words above “Siyi Technology” to follow us. Siyi Technology focuses on brain image data processing, covering (radiomics,fMRI, structural images, white matter hyperintensity analysis, PVS, PET, spectroscopy, CEST, DWI, DTI-ALPS, QSM, ASL, IVIM, DCE,DSC, oxygen extraction fraction (OEF) andCMRO2, BOLD-CVR, primate brain imaging, mouse brain imaging, microbiota, EEG/ERP, magnetoencephalography, FNIRS, eye … Read more
Deep learning has become very popular, but many people still have different understandings of it. The first chapter analyzes and compares the characteristics of deep learning with other concepts such as machine learning and AI, making it worth a read. Read the original text to download the latest version 0.2 PDF. Join the learning discussion: … Read more
Author: Zhang Jianzhong Source: http://blog.csdn.net/zouxy09/article/details/8775518 Deep learning is a new field in the study of machine learning, motivated by the establishment and simulation of neural networks that analyze and learn like the human brain. It mimics the mechanisms of the human brain to interpret data such as images, sounds, and text. Deep learning is a … Read more
Editor: Amusi | Source: Zhihu, originally from: cver https://www.zhihu.com/question/25097993 This article is for academic sharing only. If there is infringement, the article will be deleted. What Are the Techniques for Tuning Parameters in Deep Learning? The effectiveness of deep learning largely depends on how well the parameters are tuned. So how can we quickly and … Read more
Deep learning and process understanding for data-driven Earth system science Markus Reichstein et al 2019 in Nature This is a review article that discusses the applications and challenges of machine learning in geosciences. The Earth system science has entered the era of big data. Earth system data is a typical big data, characterized by the … Read more
Selected from Medium Author: Arvind N Translated by Machine Heart Contributors: Lu Xue, Li Zenan On August 8, Andrew Ng officially launched Deeplearning.ai—a series of deep learning courses based on Coursera, aiming to spread foundational knowledge of artificial intelligence to more people. A week later, many have completed the first three courses that are currently … Read more