Deep Learning: Concept, Development, and Importance Report

This report delves into the concept of deep learning, emphasizing its role in higher education, particularly for foundation year students. It defines deep learning as a process of constructing knowledge by relating new and old information, crucial for enhancing understanding and critical thinking. The report discusses the importance of deep learning, highlighting its ability to foster self-learning, integrate ideas into practical applications, relate evidence to conclusions, examine the logic of arguments, and promote critical thinking skills. Furthermore, it outlines various methods to develop deep learning capabilities, such as focusing on core concepts, practicing teamwork, effective communication, and extending learning beyond traditional methods. The report concludes that deep learning is a superior approach compared to surface learning, enabling students to make informed decisions and solve problems effectively. The report also provides an overview of the techniques through which deep learning can be developed, emphasizing the significance of teamwork and extending the reach of learning for effective communication and skill development. The references include various journals and online resources that support the concepts discussed in the report.

Concept of deep learning
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Contents
ASSESSMENT 2 - INDIVIDUAL REPORT.................................................................................3
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
(a). Discussing the concept of deep learning and identifying its importance for the foundation
year student..................................................................................................................................3
(b). Explaining how deep learning could be developed..............................................................5
(c). Conclusions based on key points..........................................................................................5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
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ASSESSMENT 2 - INDIVIDUAL REPORT
INTRODUCTION
Deep learning is a concept of high order thinking in which an individual makes attempt to
understand a topic by building a relationship between new and old knowledge simultaneously
(Chen and et.al., 2014). This concept is used to re-construct knowledge and is based on primary
knowledge. The main aim of this report is to analyse the article of deep learning in order to build
insightful understanding about this concept. In this report, concept of deep learning is discussed
thoroughly along with identifying its importance for foundation year students. Ways to develop
deep learning are also articulated along with drawing conclusions for these ways.
MAIN BODY
(a). Discussing the concept of deep learning and identifying its importance for the foundation
year student
Concept of deep learning:
Deep learning is a procedure of human gaining certain types of knowledge by the way of
data science. In this process, an individual collects all its information and store it using artificial
intelligence. Once all the data is stored it is further analysed using statistics and predictive
modelling. By this way, large amount of data is processed faster and easier. This analysis has
variety of levels which increases the complexity of information so that conclusions can be made.
This process of deep learning involves various steps. The first step is to understand problem due
to which learning is required to be done. After identification, relevant data needs to be collected
for the resolution of that problem so that analysis can be further initiated. In third step of this
procedure, an algorithm is selected and used so that large amount of data can be processed.
Lastly, tests are conducted so that a conclusion can be made for the resolution of identified
problem (Entwistle and Ramsden, 2015).
This process of deep learning requires training to structure data. There are various
techniques or methods which can make deep learning easier. These methods are transfer
learning, in which a pre existing network of data is used. And Training learning, in which
collected data from scratch is mould by a new network.
Importance of deep learning for foundation year student:
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Foundation year students are the learners of initial years which has just started their higher
education. Deep learning is important for students as it provides them opportunity to grow
mentally and enhance their knowledge. Various importance of deep knowledge is:
Self-learning: Usually students of foundation year requires constant help of their teachers
and mentors to guide them through their curriculum as all the information gained by them is new
and also these students has no experience of handling such large data. Deep learning provide
opportunity to foundation year students to analyse the information provided to them by
themselves without any help of their mentors which makes them self reliant and interactive.
Integrate ideas into practicality: Deep learning also helps in integrate the ideas which
fresh minds of foundation year students generate, into reality. This process of learning proves to
be use the principles and ideas so that those ideas can be used in practical world. For example: an
idea of advanced technology created by a foundation year student can be further developed using
deep learning, so that it can be used in reality (Lake, Salakhutdinov and Tenenbaum, 2015).
Relate evidence to conclusions: Every conclusion must be backed by evidences so that
created theory can be reliable. Main aim of deep learning is to resolve the problems and draw
relevant conclusions. But these conclusions cannot be used to prove anything if they are not
backed up by any evidence. Deep learning is a process of using technical network for storing and
processing information by which various evidences can be gathered which can further be used to
provide strong conclusion along with evidences of algorithms. It is important for foundation year
students to use deep learning as it can support their conclusions and provide them evidence.
Examine logic of arguments: In order to critically understand a concept, it is important to
examine the logic behind its arguments and counter arguments. This procedure of scrutiny can be
difficult, but by the way of deep learning all the data can be stored using artificial intelligence
and then various tests can be run on that data so that arguments can be tested whether they are
logical or not. It is important for foundation year students to use deep learnings as it helps them
to examine logic behind their arguments. In literal sense, deep learning is used by these students
to analyse a topic profoundly so that various logics related to concept can be developed which
can ultimately help in drawing solutions and conclusions (Nielsen, 2016).
Critical thinking: Another importance of deep thinking for foundation year students is
critical thinking as by this, students can critically think about their curriculum topic and can
evaluate it for their educational development (Zhou, Wu and Li, 2018).
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(b). Explaining how deep learning could be developed
Deep learning is considered essential for foundation year students as by this they can excel
in their education. Deep learning is different from surface learning, as in this students focus on
core of the concepts rather than adopting strategy of repetitive learning. There are various ways
or techniques by which deep learning can be developed. Few of these ways are mentioned below:
 Focus on the core: In order to develop the skill of deep learning, students will focus on
the core of their curriculum concepts. “Focusing Core” is the basic difference between
surface and deep learning. As, is in the case of surface learning, students repetitively
learn same concept without examining its core due to which they only remember those
concepts for short period of time. In case of deep learning, students focus on the core of
the concept by which they understand relevance of that topic. Deep learning also helps in
real world to solve problems and provide critical analysis (Platow, Mavor and Grace,
2013).
 Practice team work: Another way to practice or develop deep learning is teamwork. It is
considered that team work is the technique by which students can share their ideas which
opens up the scope of resolutions of issues which ultimately leads to effective learning of
multiple students. This technique is considered as most effective as by this, numerous
students can develop skill of deep learning in themselves.
 Effective communication: It is considered as another way to develop deep learning in
students. Learning can be most effective when it is done by using three main senses
which are reading, communicating and observing. When a concept is read by students, it
must be further communicated by them to their fellow mates by which it can be further
understood. Communication must go both ways by which a concept will be deeply
learned.
 Extension of reach: Learning through books is considered as old school nowadays. So, it
is important to extend the reach and learn through innovative tools as audio and video
devices which helps to indulge all basic senses of students into learning which ultimately
helps in deep learning (Strategies of Deeper Learning Skills, 2016).
(c). Conclusions based on key points
From the given article, it is concluded that deep learning is a concept of high order thinking
by which multiple relevant conclusions can be developed. Deep learning helps in resolving the
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issue by emphasis on building relationship between new and old knowledge simultaneously. The
concept of deep learning is evaluated and re evaluated by ample authors and thinkers, but the
common aspect between all these authors is that they all think that deep learning is a meta
cognitive process which has to build by students only and it is not something which can be learnt
by same series of activities. The given article is further evaluated by analysing the techniques by
which deep learning can be developed. The most effective methods by which deep earning can
be developed by foundation year students is extension of reach and team work as both the
techniques are easier to be conducted and also helps in developing communication and technical
skills as well.
Key points discussed in the article and this evaluation are; deep learning is concept of core
learning, it can be developed by students’ efforts and it helps in developing understanding of
curriculum. All these points bring to a conclusion that deep learning is way more different and
better than surface learning which can help in make decisions and solve problems by foundation
year students.
CONCLUSION
From the above report, it has been concluded that deep learning is a process of developing
insights about a topic in order to comprehend it for enhancing knowledge. From the importance
of deep learning, it is summarised that foundation year students can be benefitted to self learn
and integrate ideas into practicality. It is also concluded from the above report that article of deep
learning is based on assistance of ways which can help in developing the skill of deep learning.
Few most effective techniques of developing deep learning are concluded to be practicing team
work and extending the reach.
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REFERENCES
Books and Journals
Chen, Y. and et.al., 2014. Deep learning-based classification of hyperspectral data. IEEE Journal
of Selected topics in applied earth observations and remote sensing. 7(6). pp.2094-2107.
Entwistle, N. and Ramsden, P., 2015. Understanding student learning (routledge revivals).
Routledge.
Lake, B. M., Salakhutdinov, R. and Tenenbaum, J. B., 2015. Human-level concept learning
through probabilistic program induction. Science. 350(6266). pp.1332-1338.
Nielsen, A., 2016. Concept-based learning in clinical experiences: Bringing theory to clinical
education for deep learning. Journal of Nursing Education. 55(7). pp.365-371.
Platow, M. J., Mavor, K. I. and Grace, D. M., 2013. On the role of discipline-related self-concept
in deep and surface approaches to learning among university students. Instructional
Science. 41(2). pp.271-285.
Zhou, F., Wu, B. and Li, Z., 2018. Deep meta-learning: Learning to learn in the concept
space. arXiv preprint arXiv:1802.03596.
Online
Strategies of Deeper Learning Skills. 2016. [Online]. Available through:
<https://elearningindustry.com/10-strategies-deeper-learning-skills-education-leaders>
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