These documents will help you to understand the concept of deep learning. It is also known as deep structured learning or hierarchical learning. Computer Science Engineering students can download the seminar report for their college projects and seminar.
The development of machine learning is an integral part of the development of artificial intelligence. Deep Learning is part of a broader family of machine learning methods that is based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Deep learning was inspired by the structure and function of the brain, namely the interconnecting of many neurons. Artificial Neural Networks (ANNs) are algorithms that mimic the biological structure of the brain. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
The development of machine learning is an integral part of the development of artificial intelligence. Deep Learning is part of a broader family of machine learning methods that is based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Deep learning was inspired by the structure and function of the brain, namely the interconnecting of many neurons. Artificial Neural Networks (ANNs) are algorithms that mimic the biological structure of the brain. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
Documents detail
- The ebook from Nvidia explains how deep learning can deliver business values to the organization.
- Another pdf ebook is a tutorial on deep learning by LISA lab, University of Montreal.
- Deep Learning: Methods and Applications book provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks.
- The review report on Deep Learning explains the computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
- A Brief Introduction to Deep Learning is a PPT that explains various examples and algorithms.
- Seminar in Deep Learning contains lectures on the topics Machine Learning, Neural Networks, Deep Learning
We hope these documents will help you to understand the basics of deep learning. It is advised to search the internet for the latest research developments and applications of Deep Learning.
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