DLE602 Deep Learning Assignment

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Reference no: EM133019755

DLE602 Deep Learning - Torrens University Australia

Home Automation: Secure Door Entry

Deep Learning Project Proposal Presentation

Learning Outcome 1: Compare and select ways to pre-process signals, images, and texts for natural language, speech recognition, and computer vision applications.

Learning Outcome 2: Develop critical analysis skills in deep learning research.

Learning Outcome 3: Demonstrate collaborative skills to apply deep learning to solve real world problems.

Learning Outcome 4: Demonstrate ability to effectively communicate scientific and technical information.

Task Summary

In Assessment 1, you read the article entitled ‘Deep Convolution Neural Networks for Twitter Sentiment Analysis' by Zhao, Gui and Zhang (2018), which can be accessed.

For Assessment 2, in a small group of two to three people, you are required to select and analyse quality research articles similar to the above-mentioned article and identify an interesting project in the world of Deep Learning. Once you have identified the project, you will present your findings in a professional project proposal report and deliver a presentation.

Please refer to the Task Instructions (below) for further details on how to complete this task.

Context
The aim of this assessment is to develop a project proposal for a hypothetical research project. This report will enable you to demonstrate your ability to search for relevant literature, write about other works in the area and design a research project proposal, which you will implement in Assessment 3.

Finally, you will communicate details of your project (written and oral) to an audience familiar with Deep Learning.

Task Instructions

In a small group of two to three people, you will research a Deep Learning project of your choice and articulate your findings in a written report and a 5-7 minute audio-visual seminar. You can form a group yourself or your learning facilitator will allocate you to a group and advise you of the students with whom you will be working. Your group will comprise students who have selected a similar topic.

You are required to select, assess and evaluate the information that you include in your written project proposal. The presentation will be an audio-visual submission (please note, online students are only required to film a voice over of the presentation and are not required to film themselves delivering the presentation). The 5-7-minute presentation should provide an engaging explanation of your nominated topic and include the most relevant and absorbing information from your written project proposal.

Report Guidelines

In relation to the report, you need to:
• Prepare a 1,000-word report in which you clearly explain the project that you identified in your literature review and demonstrate a sound application of the project management process;
• Provide a concise description of your project in a statement in your report and state the specific aim(s) or research question(s) that you intend to address;
• Present your report using any standard writing format;
• Include a cover page and table of contents. Note: the cover page needs to include official student names and project name;
• Include an abstract/executive summary;
• State the word count at the end of the report (before the reference section);
• Insert page numbers (the page numbers should appear in the footer of each page); and
• Label any figures and tables in your report with meaningful captions.

Presentation Guidelines
In relation to the presentation, you need to:
• Prepare a 5-7 minute audio-visual presentation that summarises your research. All students need to present for an equal amount time;
• Include a title slide with student details/subject details that clearly introduces your group and the research topic;
• Ensure your presentation is engaging and informative. Your presentation should NOT include the full details contained in your report;

Referencing
It is essential that you use APA style to cite and reference your research.

Attachment:- Deep Learning.rar

Reference no: EM133019755

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