Recently, I got addicted to Kaggle and I started playing with all kinds of competitions. My first one it was the default (way to go) on Deep Learning. None other than the classifying handwritten digits using the MNIST dataset. I managed to hit a good 99.1% accuracy in the validation round! I figured to share …
In today’s post, I am going to show you how you can use Amazon’s SageMaker to classify images from the CIFAR-10 dataset using Keras with MXNet backend. For this tutorial, you do not need the GPU version of Tensorflow. This tutorial is a continuation of my previous one, Convolutional NN with Keras Tensorflow on CIFAR-10 Dataset, …
In today’s post, I am going to show you how to create a Convolutional Neural Network (CNN) to classify images from the dataset CIFAR-10. This tutorial is the backbone to the next one, Image Classification with Keras and SageMaker. This post mainly shows you how to prepare your custom dataset to be acceptable by Keras. …
Convolutional NN with Keras Tensorflow on CIFAR-10 Dataset, Image Classification Read More »
I think it is finally time to create a schedule for the blog. From now on, I will try to post at least three articles per month and give you an insight into what I have learned the past few weeks. The past month I got involved in some really interesting stuff throughout my work …
For the past few months, I am working on a project and the time for the official release is coming closer and closer. I and my colleagues had put a lot of thought and work into it, in order to provide the best possible experience to the consumer. So, I came up with the idea …
An Introduction to Sentiment Analysis with Python Read More »
In this blog post, we are going to talk about preprocessing in order to have a robust dataset for our model. When we are given a dataset, it is really important to understand it and by understanding, I mean to find the key features. This is not always the case, because we may have a …
Uncontrollable and amateur scraping can really hurt a website. The best option to extract information from the web is through APIs. Nowadays, almost every single service has an API server where you can query and get data, Facebook has the dev.facebook, Twitter also, even Amazon! It is always best to plan and think before going …
Similar to the previous post, in this post, we are going to learn how to extract information from the Internet. We have to create a dataset first, to implement data mining techniques. So, let’s start. Github Code of this project. 1. What is scraping? Scraping is a technique that allows us to extract information from …
Greetings everyone! This is my first blog post ever! In this post, I will try to explain the purpose of this blog along side with the fist topics that I am going to cover. First of all, I would like to thank each and every one of you for the time that you will …
