Deep learning… wow… this is “the” hot topic since, at least, some good years ago! I’ve attended a few seminars and workshops about deep learning, nevertheless I’ve never tried to code something myself - until now! - because I had always another priority. Also, I have to admit, I thought it was a lot harder and it would need much more time to be able to run anything that was not simply a sample code.
Example of classification results.
I’m always forgetting things, so I like to take notes as if I was teaching a toddler. Consequently, this post was designed to remember myself when I forget how to use Keras .
All the things I’ll explain below will only make sense if you know what is a Multilayer perceptron and Feedforward neural network as well. In case you don’t, no worries, Google is your friend .
Keras is a high-level neural networks library for TensorFlow and Theano. I would call it a Python wrapper that hides the extra details necessary to create neural networks... simplifying our life!
Today, I’ve decided to write something to make sure I’m not going to forget, again, about my old projects. Another reason for this post is to be an incentive for sharing / publishing your work online. If I had published everything online, as I was developing, I would not need to write a post about things from the past like I’m doing right now ;)
When I was still an undergrad student (2000-2005), mobile phones with good quality cameras were not available and only in 2004 (or 2005?) I got one with a really noisy, probably VGA, camera. I was only able to have such a phone because I found an unsolvable bug on my old one, while still on guarantee, and they had no choice but give me a better one (Brazil has some really nice consumer protection laws). Also, Dropbox, GoogleDrive, etc were not available and it was quite common to lose data from time to time after a problem with a hard drive.
During my years as an undergrad Electrical Engineering student, I’ve developed some interesting projects, but most of them I’ve not saved any picture, schematic, etc. For one of my analog electronics modules, my group designed a circuit to multiply two input signals using only transistors. I still remember that Analog Devices had one IC that could do exactly what we struggled to build for that module. The control systems module demanded us to develop an analog PID controller and I implemented a controller for CPU fans. Later on, I’ve worked on a Neural Network implementation using FPGA that should be able to recognise simple numbers. All those projects are lost, since I don’t have backup of anything or photos. My first project to have a digital picture saved was during the microcontrollers module. My group designed a home automation system, based on 8051, where you could activate relays through DTMF. Here is the picture (we recycled my old 56K USRobotics faxmodem plastic enclosure):
This is my first attempt using Jekyll. It all started because my colleague, Massimiliano, showed me his brand new Jekyll based website. Actually, I’d tried Jekyll before, but when I read the first lines asking me to install Ruby, RubyGems, NodeJS and then install Jekyll, I instantaneously gave up. I was way too used to deploy and admin WordPress websites, so I could not accept the idea of not being able to have a web-only system. Luckily, Github does everything and it’s NOT necessary to install anything on you computer to use Jekyll with Github!
My plan, for the future, is to keep this website updated with what I’m currently doing (and, maybe, try to document some old projects too).
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