Learn critical machine learning topics and create production-ready models, including confidence intervals and project planning Discuss data augmentation and the math and code of stochastic gradient descent Build and deploy GUI apps for notebooks and standalone web applications Train a neural network from...
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deep learning techniques into supervised, unsupervised, reinforcement, and hybrid learning-based models. In addition to address each category, a brief description of these categories and their models is provided. Some of the critical topics in deep learning, namely, transfer, federated, and online le...
In the conceptual framework of the project "Experiential Education" educational outcomes get a lot of attention. The concept of 'deep-level-learning' based on a constructivist tradition catches the essence of an alternative view on learning and development: real learning affects the deeper structures...
the potential application areas. In Section “Research Directions and Future Aspects”, we discuss various research issues of deep learning-based modeling and highlight the promising topics for future research within the scope of our study. Finally, Section “Concluding Remarks” concludes this paper....
Deep Learning : How the Mind Overrides Experience is not only breathtaking in scope and intellectual range, but also beautifully written and completely engaging. Written from the perspective of a mainstream cognitive scientist who wants... CL Smith - 《Science & Education》 ...
The lowdown on deep learning, including how it relates to the wider field of machine learning and how to get started.
Explore deep learning books, reading lists, and resources. Topics include AI, parallel computing, accelerated data science, and more.
The global education system is impacted by the corona virus. Therefore, online learning is a way to keep the educational system going. Learners who are suffering from health issues cannot sit for long time to watch lecture videos. It is not possible to navigate directly ...
After about a decade of education and research in physics, I found my passion in deep learning and autonomous driving. Currently I am leading the development of perception features at Xpeng Motors, a fast growing autonomous driving company. What to read Where to start? If you are new to ...