And using it to build a language model for news headlines — In this article I’m going to explain first a little theory about Recurrent Neural Networks (RNNs) for those who are new to them, then I’ll show the implementation that I did using TensorFlow. We’re going to see the code snippet by snippet along with the explanations and the output that…

… and should we do this? — Before seeing “how” to use C code from Python let’s see first “why” one may want to do this. If you are reading this article right now you probably want to do one or more of these 3 things: Reusing existing C code from a Python program Speed up your…

Use the Code Prettify Jupyter Extension — Sometimes when writing code in a Jupyter notebook, you may be in a hurry and don’t want to spend time on arranging your code, using proper indentation, and stuff like that. So, wouldn’t be nice if there would be a tool to solve this issue? Well… there is. There is…

A brief introduction to Generative Adversarial Networks — Why should we care about Generative Adversarial Networks (GANs for short) in the first place? Well… take a look at the below images.

You can use this Jupyter extension — By default, a Jupyter Notebook saves your work every 2 minutes, and if you want to change this time interval you can do so by using the %autosave n magic command; where n is the number of seconds, and if n=0 this means no autosaving. But the %autosave magic command…

Understand Logistic Regression and sharpen your PyTorch skills — To understand better what we’re going to do next, you can read my previous article about logistic regression: Understanding Logistic Regression The math of this method explained in detailtowardsdatascience.com So, what’s our plan for implementing Logistic Regression with PyTorch? Let’s first think of the underlying math that we want to use.

…something not as hard as you may think — TL; DR If you are here for a quick solution that just works, then here it is in just 5 lines of code: model = tf.keras.models.Sequential([ tf.keras.layers.Dense(1, activation='sigmoid') ]) model.compile(loss='bce') model.fit(x_train, y_train, epochs=100) The long way Now, if you’re still with me it means that you don’t want just to copy + paste 5 lines…

Try this Jupyter extension — By default, when the output of a code cell in a Jupyter notebook gets too long, the content remains in its initial position and you have to manually scroll down to see the latest output. And this can be very annoying. For example, if you train a Machine Learning model…

How I learned more in 3 months rather than 4 years — Disclosure: below you’ll find affiliate links to these two books C and C++ are, despite their age, some of the most used programming languages across the globe and are among the first ones taught in schools and universities. …