Skip to main content

Neural Network (Initial Idea 2)

Neural Networks

 Neural Networks, colloquially known as artificial neural networks (ANNs) and also simulated neural networks (SNNs), are a sub-fiend of machine learning which in it self is a sub-field of Artificial Intelligence, they are the brain of AI and are components of deep learning. The name and structure of NNs are similar to the human brain and were inspired by it, they imitate the biological neurons by signaling to each other (IBM, 2020). ANNs consist of an input layer of neurons, one or two hidden layers of neurons and a final layer of output neurons (Wang, 2003).

 The diagram illustrated exemplifies a simple architecture of a neural network, the lines which connect the neurons are called weights and are associated with a number which represent the strength of connection between neurons.


 There are many different types of neural networks and each are used for specific motives. Below are some of the most common ones used in the field:

The perceptron “the oldest neural network, created by Frank Rosenblatt in 1958” (IBM, 2020).

Recurrent neural networks (RNNs) “are a class of neural networks that allow previous outputs to be used as inputs while having hidden states” (Stanford university,2021).

Convolutional neural networks (CNNs) “These networks harness principles from linear algebra, particularly matrix multiplication, to identify patterns within an image” (IBM, 2020).

Feedforward neural networks and these are the opposite of RNNs, they do not form a cycle in the weights (IBM, 2020).

 

 

 

 

 

References:

Wang, SC. (2003) Artificial neural network. In: Interdisciplinary Computing in Java Programming. Boston MA: Springer, pp 1.

IBM, 2021. What are Neural Networks?. [online] Ibm.com. Available at: <https://www.ibm.com/cloud/learn/neural-networks> [Accessed 18 April 2021].

Stanford University, 2021. CS 230 - Recurrent Neural Networks Cheatsheet. [online] Stanford.edu. Available at: <https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks> [Accessed 18 April 2021].

Gad, A., 2021. neural network. [image] Available at: <https://pixabay.com/illustrations/artificial-neural-network-ann-3501528/> [Accessed 20 April 2021].


Comments

  1. Test19 April 2021 at 08:36

    Hi
    Please do not forget to add the references for the images or pictures into your posts following DMU Harvard style conventions. Please start adding following posts:
    Project plan
    Research Essay (Introduction)
    Research Essay (Main Body/Analysis)
    Research Essay (Conclusion)
    Please do not forget to provide in text citations and references as per requirements in all posts.

    Many thanks
    Chirag

    ReplyDelete

Post a Comment

Popular posts from this blog

Case Study - Literature Review - Tesla and Artificial Intelligence

Many different studies have been conducted in regards to the Tesla company and its very influential CEO Elon Musk and numerous of literature review have covered this company, and it is generally concluded in these studies that Tesla company is a successful company with a huge impact in the present time and it has brought innovative products that changed our world and that it has great potential for our future and that they are the best in the electric vehicle field, however there are a few sources which show skepticism towards the company, in this section of the case study we will go over different sources that discuss Tesla and evaluate them. According to SupplyChainDive (2018) it was not tesla that invented the electric vehicles it was Robert Anderson in 1832, all that tesla did was popularize and promote this type of vehicle and not one single major company was making electric cars until the the announcement of tesla roadster in 2008 Copyright free image and since then Tesla radica...
Post a Comment
Read more

Case Study - Conclusion - Tesla and Artificial Intelligence

 In conclusion, Tesla is the highest rated car manufacturing company for autonomous cars in the present and it continues to develop internationally and this is owing to the fact that Tesla properly uses artificial intelligence to full potential to produce its vehicles and implement it in every way possible to produce innovative self driving electric vehicles which dominated the market. This case study clearly shows the connection between the main project theme of this blog and the success of the Tesla company and further illustrates the importance of AI. The research conducted is significant to help understand ways AI can be implemented and to encourage other companies and potential entrepreneurs to implement AI with vision to popularize the use of AI and revolutionize the planet. However, because of the limitations presented by the research and the case study, further research is suggested to provide a more accurate significance of artificial intelligence, I will be proceeding by ...
Post a Comment
Read more