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Week 4 Progress -Applications - Neural Networks in Python

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Summary/Overview: During this week I continued to learn more about neural network algorithms and coding using previously found resources and attempted to understand them better. During this time I also read some resources on several uses of neural networks in various fields including in Geographic Information Science (GIS) applications, healthcare and image recognition. Additionally I created a template for my final product slideshow and began planning out the sections that I would go over in it. Healthcare Applications: There are many different applications of neural networks in healthcare fields I explored several from a general perspective. Some of these applications include the creation of diagnostic systems to identify issues, recreating neural systems as shown in the image below, analyzing bichemical samples, analyzing drug trial data to better develop them and the analysis of visual data captured from a wide variety of medical devices. RevolverDeBlake. (2019). "Study shows ...
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Week 6 - Final Project Wrap Up

    Priya Dialani. (2019). “Developing Innovation: Neural Network and Deep Learning”. [Image]. Retrieved from https://www.analyticsinsight.net/developing-innovation-neural-network-and-deep-learning/   Well here we are in the final week of the course and at the end of the Genius Hour Project. During the last six weeks I explored Neural Networks from a Python programming perspective and theiir various applications across multiple industries. I will discuss the the various aspects of the project in the final week in the sections below.   What I Learned: During this Genius Hour Project I learned a great deal more than I knew about neural networks, specifically neural networks in Python as well as how these neural networks can be applied to various industries from a real world perspective. I explored the structure of Neural networks the process of building them and how they work, I learned what supervised vs. unsupervised training was and about Neural network algorithms....
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Week 3 Progress - Specific Research - Neural Networks in Python

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Summary/Overview: During this weeks research I dove into several resources listed below that discussed neural networks from a Python programming perspective as well as several that discussed programming simple neural networks from a practical perspective in python. Some of these included psuedo code as well as actual coding examples. Although the actual syntax of the python coding was useful in grounding the concepts of neural networks in my previous Python experience I still struggle somewhat with some of the more advanced mathematical concepts involved in the coding process, It was useful to have a more grounded perspective however and was interesting to see just how simple the code snipets involved in creating a basic low number of layers neural network would be. I also learned more about the role kof modules in Python Neural Network coding as well as specific training datasets, where to find them and how to use them. This weeks research also helped to cement my understanding of wei...
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