AI Tutorials

This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.

In this tutorial, you will learn how to create a Neural Network model in R.

Learn how to perform Exploratory Data Analysis for Natural Language Processing using WordCloud in Python.

In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

Learn what Vision API is and what are all the things that it offers. By the end of this tutorial, you will also learn how you can call Vision API from your Python code.

This tutorial will introduce you to the concept of object detection in Python using OpenCV library and how you can utilize it to perform tasks like Facial detection.

In this tutorial, you'll get an overview of Artificial Intelligence (AI) and take a closer look in what makes Machine Learning (ML) and Deep Learning different.

This tutorial covers stemming and lemmatization from a practical standpoint using the Python Natural Language ToolKit (NLTK) package.

Learn what cyclical learning rate policy is and how it can improve the training of a neural network.

There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's.

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.