Why do Neural Networks Need an Activation Function?
Neural Networks have a lot of interconnected layers, each of them with an Activation Function. But why is this necessary? What are Activation Functions for?
LSTM: How to Train Neural Networks to Write like Lovecraft
LSTM Neural Networks have seen a lot of use in the recent years, both for text and music generation, and for Time Series Forecasting.
Today, I’ll teach you how to train a LSTM Neural Network for text generation, so that it can write with H. P. Lovecraft’s style.
5 Probability Distributions Every Data Scientist Should Know
Probability Distributions are like 3D glasses. They allow a skilled Data Scientist to recognize patterns in otherwise completely random variables.
Convolutional Neural Networks: Training an Image Classifier with Keras
Convolutional Neural Networks are a part of what made Deep Learning reach the headlines so often in the last decade. Today we’ll train a CNN to tell us whether an image contains a dog or a cat, using TensorFlow’s eager API.
K Means Clustering with Dask (Image Filters for Cat Pictures)
Applying filters to images is not a new concept to anyone. We take a picture, make a few changes to it, and now it looks cooler. But where does Artificial Intelligence come in? Let’s try out a fun use for Unsupervised Machine Learning with K Means Clustering.
