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@jkleint
jkleint / timeseries_cnn.py
Created July 29, 2016 04:05
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""
from __future__ import print_function, division
import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential
@davidfowl
davidfowl / Example1.cs
Last active June 19, 2024 16:41
How .NET Standard relates to .NET Platforms
namespace Analogy
{
/// <summary>
/// This example shows that a library that needs access to target .NET Standard 1.3
/// can only access APIs available in that .NET Standard. Even though similar the APIs exist on .NET
/// Framework 4.5, it implements a version of .NET Standard that isn't compatible with the library.
/// </summary>INetCoreApp10
class Example1
{
public void Net45Application(INetFramework45 platform)
@leedm777
leedm777 / swagger-type-variance.md
Last active December 13, 2021 08:19
Type variance in Swagger models

This document describes how to extend Swagger data models to allow the types of fields to vary.

Given that Swagger models need to map cleanly to a statically typed object model, a subclassing approach seems like it would be a good fit.

Inheritance

Inheritance allows a model (the derived type) to inherit all of the