Case Study (Conclusion)
Conclusion
To summarize my case study, I delved into the world of deep learning - a subfield of machine learning that I was specifically focused on for my major project. Deep learning entails a neural network that comprises three or more layers, making it a significant aspect of machine learning.
Furthermore, the roots of deep learning go back over 70 years when it was called a neural network. The concept of neural networks was initially introduced by Warren McCullough and Walter Pitts way back in 1944.
In the method section, I explained Deep learning neural networks which aim to imitate the human brain using a mixture of data inputs, weights, and bias. I also discussed both complex and simple algorithms, including Convolutional neural networks and Recurrent neural networks.
On a daily basis, we come across deep learning algorithms without even realizing it, as most processes operate in the background.
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