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The differences between ANN, CNN, and RNN are listed in slide 30
The relation between AI, ML, NN, and DL can be illustrated through this diagram (Pramoditha, 2022)
Source: Pramoditha, R. (2022, March 21). The relationship between AI, ML, NNS and DL. Medium. https://medium.com/data-science-365/the-relationship-between-ai-ml-nns-and-dl-60bd40069908
Generally, AI is the field, then ML, NN, and DL are subsets of AI. NN acts as the backbone or base of DL algorithms. The “deep” in deep learning refers to the depth of layers in a neural network. A neural network of more than three layers, including the inputs and the output, can be considered a deep-learning algorithm.
There are some sources that perceived DL as subset of NN and vice versa, but most of them lists DL as subset of NN. This may be caused by the meaning of DL or consideration of DL algorithm written above. Here are some other diagrams that describes the connection between AI, ML, NN, and DL.
Source: Alkabbani, Hanin & Ahmadian, Ali & Zhu, Qinqin & Elkamel, A.. (2021). Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review. Frontiers in Chemical Engineering. 3. 665415. 10.3389/fceng.2021.665415.
Source: Themainstreamseer. (2019, July 16). AI, ML, NN and DL: a visual explanation. http://themainstreamseer.blogspot.com/2019/07/ai-ml-nn-and-dl-visual-explanation.html
I have studied the slide.
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I have studied the slide