Deep learning is a complex machine learning algorithm that involves learning inherent rules and representation levels of sample data through large neural networks with multiple layers. It is popular for its automatic feature extraction capabilities and is applied in various areas such as CNN, LSTM, RN...
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In the rapidly-changing world of AI and deep learning, the course syllabus changes each year, but you can also access past videos in the playlist. Check the year labels on the titles. You can find more 2024 content including slides, projects, labs, and code on the course website. The ...
DQL (Deep Learning + QL) applies NN to approximate the Q-value function instead of using the Q-table. Alam et al. proposed a DQL for computation offloading in the mobile Edge IoT applications. The power consumption of the proposed solution was improved compared to state-of-the-art ...
Movement prediction, for example, understanding the speed of an object or estimating the behavior and intention of a pedestrian based on his/her pose. Since the past two decades, a variety of machine learning algorithms have been applied to solve object recognition problems in intelligent vehicles....
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎) arm mobile embedded fpga deep-learning neural-network mali baidu mdl mobile-deep-learning Updated May 16, 2025 C++ csarron / awesome-emdl Star 748 Code Issues Pull requests Embed...
The Machine Learning Mastery method suggests that the best way of learning this material is by doing. This means the focus of the book is hands-on with projects and tutorials. This also means not covering some topics, even topics covered by “everyone else” like DSP theory or modeling math...
Learn Deep Learning in 2023 with best Deep Learning courses, best Deep Learning tutorials & best Deep Learning books in 2023
Students will gain foundational knowledge of deep learning algorithms, practical experience in building neural networks, and understanding of cutting-edge topics including large language models and generative AI. Program concludes with a project proposal competition with feedback from staff and panel of ...
For those already comfortable with machine learning, delving into deep learning could take approximately 3 to 4 months to achieve proficiency. This estimate assumes a consistent learning schedule and practical application of skills through projects. However, deep learning is a vast and rapidly evolving...