I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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package org.deeplearning4j.nn.modelimport.keras; | |
import org.deeplearning4j.nn.api.Layer; | |
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; | |
import org.deeplearning4j.nn.graph.ComputationGraph; | |
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; | |
import org.nd4j.linalg.api.ndarray.INDArray; | |
import org.slf4j.Logger; | |
import org.slf4j.LoggerFactory; |
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library(shiny) | |
library(dplyr) | |
library(lubridate) | |
# Load libraries and functions needed to create SQLite databases. | |
library(RSQLite) | |
library(RSQLite.extfuns) | |
saveSQLite <- function(data, name){ | |
path <- dplyr:::db_location(filename=paste0(name, ".sqlite")) |