Easy to use recipes in diverse domains using diverse frameworks.

Hidden layers and units

import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from keras.models import Sequential from…

Regularization through dropout

Avoiding overfitting through dropout layers.

Using weights to account for imbalanced data

Applying more weight on the lesser present (Imbalanced) data.

Comparing Keras activation functions

What is the effect of different activation functions on training?

Linear regression with MXNet

Linear regression on the basis of MXNet.

TensorFlow hello world

Just a handful of lines to get an idea what TensorFlow looks like.

Pytorch hello world

Simple Pytorch example with some thoughts on Pytorch versus TensorFlow.

Keras hello world

Keras hello world example.

Gluon hello world

A simple five-lines example of how to use MXNet's Gluon interface.