Tag: machine learning
Total 5 Posts
The most common problem when doing deep learning: How can I find enough data to learn my models? Indeed, that's a big problem. Gathering high volume of training data for deep learning purposes is hard. But maybe we can "cheat" a bit? Images Augmentation Let's talk about images. When doing Deep Learning, we want to have as diverse...
In this post I'll show how to prepare Docker container able to run already trained Neural Network (NN). It can be helpful if you want to redistribute your work to multiple machines or send it to a client, along with one-line run command. Sample code is using Keras with TensorFlow backend. Prerequisites Already prepared Keras NN. We'll save it to...
You can write all code in notepad / vim / sublime text. But, does it make any sense, when there are other tools designed to help you go faster? One of them, dedicated to Machine Learning in Python, is Spyder. I've found it when I was following Udemy Deep Learning Course. And since I was programming in RStudio (R programming language) earlier,...
In this post I'm going to describe how I'm entering into the world of machine learning. It's not an easy and uncomplicated way, so this is why I decided to publish this short post. Below you can find a couple of advices, from a Python programmer point of view. TL;DR - online resources Decide what you want to learn...
Today I'm going to write about Jupyter Notebook, previously known as IPython Notebook. It's a tool that allows you to create interactive python sessions, visualize results, and easily distribute them. It's widely used among machine learners and university professors. How does it look? Here is the notebook window of Jupyter Notebook. As you can see, there is python code interlined...
