AI and Deep Learning: Understanding and Exploring AI Concepts

This assignment provides an overview of Artificial Intelligence (AI) and Deep Learning. It emphasizes the growing importance of AI in various applications and highlights deep learning as a crucial subfield of machine learning. The assignment discusses the role of neural networks in recognizing complex patterns and the key stages involved in machine learning, including input, feature extraction, classification, and output. It also explores different learning models such as supervised, unsupervised, and reinforcement learning. The assignment underscores the need for further research and development in AI and deep learning to enhance its integration in daily life. The references provided support the concepts discussed, ensuring a solid foundation for understanding the subject matter. This assignment aims to provide a foundational understanding of AI and deep learning, emphasizing the need for continued exploration in this evolving field.

Running head: AI AND DEEP LEARNING
AI AND DEEP LEARNING
Name of the Student
Name of the University
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AI AND DEEP LEARNING
Statement of Purpose
Artificial Intelligence have been an ever growing technology that is being implemented in
different organization as well as in daily lives. AI have been getting integrated in a manner that it
have been easing the lifestyle of individual. Deep learning is a subfield of machine learning. It is
considered that growing in deep learning implementation have been solving several problems
that are considered to be complicated (Russell & Norvig 2016). Neural networks are considered
as the major aspect that is to be considered. This helps in recognizing layered patterns and hence
wise complex relationship in the data are performed. There are certain stages that are considered
to be important in case of machine learning. The stages are namely input, feature extraction,
classification and output (Goodfellow, Bengio & Courville 2016). It can be stated that as the
growth in acceptance of the technology is increasing and there are several zones that are to be
explored in the area, proper research and development is required in the field. This is one of the
major aspect that is to be considered for better integration of technology in day to day life. The
different models that are to be considered in the process are namely supervised learning,
unsupervised learning and reinforcement learning. These are the models that requires better
understanding among the concerned mass. Hence this acts important for the audience to have a
precise and basic knowledge of the topic AI and Deep Learning. Although AI have been in
market for many years and is widely used, deep learning is a completely new concept and
research work is required.

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AI AND DEEP LEARNING
References
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press.
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia;
Pearson Education Limited,.