- Neural Networks with Keras Cookbook
- V Kishore Ayyadevara
- 186字
- 2021-07-02 12:46:22
Applications of a neural network
Recently, we have seen a huge adoption of neural networks in a variety of applications. In this section, let's try to understand the reason why adoption might have increased considerably. Neural networks can be architected in multiple ways. Here are some of the possible ways:

The box at the bottom is the input, followed by the hidden layer (the middle box), and the box at the top is the output layer. The one-to-one architecture is a typical neural network with a hidden layer between the input and output layer. Examples of different architectures are as follows:

Apart from the preceding points, neural networks are also in a position to understand the content in an image and detect the position where the content is located using an architecture named Convolutional Neural Network (CNN), which looks as follows:

Here, we saw examples of recommender systems, image analysis, text analysis, and audio analysis, and we can see that neural networks give us the flexibility to solve a problem using multiple architectures, resulting in increased adoption as the number of applications increases.
- FuelPHP Application Development Blueprints
- Learning Data Mining with Python
- Python Deep Learning
- 數據結構(Python語言描述)(第2版)
- C語言程序設計立體化案例教程
- 實戰低代碼
- Java深入解析:透析Java本質的36個話題
- Learning Python Design Patterns(Second Edition)
- 零基礎Java學習筆記
- 新一代SDN:VMware NSX 網絡原理與實踐
- Instant PHP Web Scraping
- Node.js開發指南
- Spring MVC+MyBatis開發從入門到項目實踐(超值版)
- 計算機組裝與維護(第二版)
- JavaScript語法簡明手冊