Loading...
Please wait, while we are loading the content...
Similar Documents
Deep Learning with Convolutional Neural Networks
| Content Provider | Scilit |
|---|---|
| Author | Claster, William B. |
| Copyright Year | 2020 |
| Description | Now that we have modularized our code, we can add in new types of layers. We will add in a convolutional layer and two other types of layers that are generally included in a convolutional neural network (CNN). CNNs have proved extremely successful with image recognition. They are also used for numerous other applications. We present the CNN here to show that our coding skills have brought us to a remarkable place. However, it is not required that the reader explore every detail in this chapter. Nevertheless, we will find that the modular approach explained in the previous chapter affords a great deal of flexibility in the design of neural networks. We will end this chapter with the analysis of the MNIST data and we will see that we are able to classify handwritten digits with suprising accuracy. Book Name: Mathematics and Programming for Machine Learning with R |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-09518-9&isbn=9781003051220&doi=10.1201/9781003051220-15&format=pdf |
| Ending Page | 387 |
| Page Count | 41 |
| Starting Page | 347 |
| DOI | 10.1201/9781003051220-15 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-09-23 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Mathematics and Programming for Machine Learning with R Artificial Intelligence Convolutional |
| Content Type | Text |
| Resource Type | Chapter |
