Today’s blog post is a “bonus tutorial” in our most recent series on building a complete, end-to-end deep learning application: Part 1: How to (quickly) build a deep learning image dataset Part 2: Keras and Convolutional Neural Networks Part 3:…

    In last week’s blog post, you learned how to train a Convolutional Neural Network (CNN) with Keras.   Today, we’re going to take this trained Keras model and deploy it to an iPhone and iOS app using what…

Today’s blog post is part two in a three-part series on building a complete end-to-end image classification + deep learning application: Part 1: How to (quickly) build a deep learning image dataset Part 2: Keras and Convolutional Neural Networks (today’s…

Here we are, the final step of building a real-life Pokedex in Python and OpenCV. This is where it all comes together. We’ll glue all our pieces together and put together an image search engine based on shape features. We…

We’re getting closer to finishing up our real-life Pokedex! In my previous blog post, I showed you how to find a Game Boy screen in an image using Python and OpenCV. This post will show you how to apply warping…

Quick question. How does a Pokedex work? Well, you simply point it a Pokemon, the Pokedex examines its physical characteristics, and the Pokemon is identified instantly. In this case, our smartphone camera is our “Pokedex”. We point our smartphone at…

So, how is our Pokedex going to “know” what Pokemon is in an image? How are we going to describe each Pokemon? Are we going to characterize the color of the Pokemon? The texture? Or the shape? Well, do you…

What if we could build a real life Pokedex? You know, just like Ash Ketchum — point your Pokedex at a Pokemon (or in this case, snap a photo of a Pokemon), identify it, and get its stats. While this…

So you’re telling me that we are going to build a Pokedex in Python that can visually recognize Pokemon? Just like in the TV show? – Ash Ketchum Yes, Ash. That’s exactly what I’m telling you. The next series of…