This is ..

Software development results..

Digits Recognition Calculator

Deep Neural Network recogniting handwritten numbers..

New iOS and Android App!

Every Cent - Register on your mobile your expenses and income and do not miss any cents..

Software Development

Mobile Apps

Multi platform (iOS, Androiod and UWP) mobile apps with Xamarin

 Xamarin Certified Mobile Developer

 Xamarin Certified Mobile Professional


3D virtual environments creator with XNA and HLSL


Natural User Interface applications with Kinect and Kinect v2 sensors

Deep Learning

Testing a deep neural network trained with NVIDIA Deep Learning GPU Training System (DIGITS) to recognize handwritten numbers

Virtual Reality

El Románico Palentino Virtual Reality Tour (DEMO)

Unity Authorized Course

 The Ultimate Guide to Game Development with Unity


  • All
  • Mobile Apps
  • 3D
  • NUI
  • Deep Learning

Quadtree & Geomipmapping



Deferred rendering - directional light

Deferred rendering - light points

Shadow mapping

Triangles blackboard

Pairs game

3D model viewer

Photo puzzle (for Kinect)


Navigation through Bing Maps

Quiz game. XXXII Congreso Nacional de Ingeniería Hospitalaria. Pamplona 2014.

3D Space invaders

Demo physics

Demo flying

Digits recognition (Deep Neural Network) calculator

Digits recognition (Deep Neural Network) calculator

TensorFlow for a Xamarin Android App

ARCore + Unity3D

"walking to the edges"

Augmented Reality DEMO. Testing ARCore SDK for Unity3D package


El Románico Palentino Virtual Reality Tour (DEMO)

Data from this app, now with 3D virtual interface using MixedRealityToolkit-Unity, showing locations and monuments on Map, and showing monuments in 360 panoramic images (I will get the real images!, image showing is just an example..)

Every Cent

App for registering on your mobile your expenses and income and do not miss any cents..

iOS (App Store)

Android (Google Play)

Deep Learning

Digits recognition (Deep Neural Network) calculator

1. Intro -> Target:
Here, I'm going to resume the steps for making a simple test with one of the NVIDIA tools (DIGITS) for Deep Learning, train a neural network for image recognition, and develop a simple application as example for using the trained model and for showing the results returned.
The software requirements and required intallations are not indicated here, just the results, but links related to the material used, can be found in next steps.

2. NVIDIA DIGITS -> Deep Learning GPU Training System:
- The tool from NVIDIA used to train a deep neural network.

3. Train a model with MNIST handwritten digit dataset:
- The images dataset used for training the neural network is the MNIST database, a lot of images handwritten digits.
- Following these instrucctions, will help for using DIGITS to train the neural network with the MNIST dataset and how to export the trained model.

4. Using the trained model:
- Inside DIGITS source code, there are two python scripts that can help to use the trained model.
- Using Flask, a web microframework for building RESTful web API, receiving by POST an image with a digit picture to pass to the trained model.

5. The calculator application interface:
- Using WPF for making a Windows destop application, with two InkCavas controls to write on it a digit, capture the images of these controls, and send them to the runnig RESTful web API service.
-  The service returns the digit with the best confidence..

Obviously the sum operation is not the target :) is just an example of interface for showing the main purpose, check the trained neural network running..

TensorFlow for a Xamarin Android App

Digits recognition (sum) with TensorFlow for a Xamarin App. A Binding Library built from TensorFlow Mobile, using TensorFlowInferenceInterface to recognize digits. Model trained with MNIST dataset.

I'm a clock!

3D scene moving blocks

Developer preview program - Kinect v2