- R Deep Learning Essentials
- Mark Hodnett Joshua F. Wiley
- 179字
- 2021-08-13 15:34:29
Keras
Keras is a high-level, open source, deep learning framework created by Francois Chollet from Google that emphasizes iterative and fast development; it is generally regarded as one of the best options to use to learn deep learning. Keras has a choice of backend lower-level frameworks: TensorFlow, Theano, or CNTK, but it is most commonly used with TensorFlow. Keras models can be deployed on practically any environment, for example, a web server, iOS, Android, a browser, or the Raspberry Pi.
To learn more about Keras, go to https://keras.io/. To learn more about using Keras in R, go to https://keras.rstudio.com; this link will also has more examples of R and Keras, as well as a handy Keras cheat sheet that gives a thorough reference to all of the functionality of the R Keras package. To install the keras package for R, run the following code:
devtools::install_github("rstudio/keras")
library(keras)
install_keras()
This will install the CPU-based package of Keras and TensorFlow. If your machine has a suitable GPU, you can refer to the documentation for install_keras() to find out how to install it.
- 深入理解Spring Cloud與實戰
- Raspberry Pi 3 Cookbook for Python Programmers
- 電腦常見故障現場處理
- 從零開始學51單片機C語言
- AMD FPGA設計優化寶典:面向Vivado/SystemVerilog
- Artificial Intelligence Business:How you can profit from AI
- micro:bit魔法修煉之Mpython初體驗
- 微軟互聯網信息服務(IIS)最佳實踐 (微軟技術開發者叢書)
- Practical Machine Learning with R
- Spring Cloud微服務和分布式系統實踐
- 圖解計算機組裝與維護
- 電腦組裝與維護即時通
- Arduino項目案例:游戲開發
- 微服務架構基礎(Spring Boot+Spring Cloud+Docker)
- The Applied Artificial Intelligence Workshop