FloydHub Blog

Generative Adversarial Networks - The Story So Far

Generative adversarial networks (GANs) have been the go-to state of the art algorithm to image generation in the last few years. In this article, you will learn about the most significant breakthroughs in this field, including BigGAN, StyleGAN, and many more.

Deep Learning

Long Short-Term Memory: From Zero to Hero with PyTorch

Long Short-Term Memory (LSTM) Networks have been widely used to solve various sequential tasks. Let's find out how these networks work and how we can implement them.

Evolutionary Algorithm

Introduction to Genetic Algorithms

Genetic algorithms are a specific approach to optimization problems that can estimate known solutions and simulate evolutionary behavior in complex systems.

Deep Learning

Using Deep Learning and TensorFlow Object Detection API for Corrosion Detection and Localization

While computer vision techniques have been used with limited success for detecting corrosion from images, Deep Learning has opened up whole new possibilities

Reinforcement Learning

An introduction to Q-Learning: Reinforcement Learning

Learn about the basic concepts of reinforcement learning and implement a simple RL algorithm called Q-Learning.

Deep Learning

How to Build OpenAI's GPT-2: "The AI That's Too Dangerous to Release"

The Key Insights Behind the Greatest Language Model of all Time

Deep Learning

A Beginner’s Guide on Recurrent Neural Networks with PyTorch

Learn the basics of Recurrent Neural Networks and build a simple Language Model with PyTorch

Introduction to K-Means Clustering in Python with scikit-learn

In this article, get a gentle introduction to the world of unsupervised learning and see the mechanics behind the old faithful K-Means algorithm.

Machine Learning

A Gentle Introduction to Text Summarization in Machine Learning

Text summarization is a common problem in the fields of machine learning and natural language processing (NLP). In this article, we'll explore how to create a simple extractive text summarization algorithm.

Machine Learning

Introduction to Anomaly Detection in Python

Learn what anomalies are and several approaches to detect them along with a case study.

Reinforcement Learning

Meta-Reinforcement Learning

The general trend in machine learning research is to stop fine-tuning models, and instead use a meta-learning algorithm that automatically finds the best architecture and hyperparameters. What about meta-reinforcement learning (meta-RL)? Meta-RL is just meta-learning applied to RL.

Deep Learning

Ten trends in Deep learning NLP

Let's uncover the Top 10 NLP trends of 2019.

Deep Learning

Best Deep Learning Courses: Updated for 2019

The list of the best machine learning & deep learning courses and MOOCs for 2019.

Deep Learning

Best Deep Learning Books: Updated for 2019

The list of the best machine learning & deep learning books for 2019.

Deep Learning

Controlling a 2D Robotic Arm with Deep Reinforcement Learning

Learn how to control a robotic arm using deep reinforcement learning techniques.

Community

Recommending Similar Fashion Images with Deep Learning

Explore how deep learning is changing the fashion industry by training your own visual recommendation model for similar fashion images using TensorFlow and FloydHub

Deep Learning

Building a Toy Self-Driving Car: Part One

Learn the history and technology of autonomous cars in this Part 1 of a series on building a self-driving toy car with Raspberry Pi, Keras, and FloydHub GPUs.

Deep Learning

On Building an Instagram Street Art Dataset and Detection Model

Build your own deep learning dataset and detection model using public Instagram photos of #streetart.

Deep Learning

Haggis, Not Haggis: How to build a haggis detection app with TensorFlow, Keras, and FloydHub for Burns Night

Use TensorFlow to build your own haggis-hunting app for Burns Night! The Scottish quest for the mythical wild haggis just got easier with deep learning.

Deep Learning

Inverting Facial Recognition Models

Can we teach a neural net to convert face embedding vectors back to images?

Community

Using NLP to Automate Customer Support, Part Two

Let's build an NLP model that can help out your customer support agents by suggesting previously-asked, similar questions.

Humans of Machine Learning

Improving Access to Sexual Health Education in Kenya with Artificial Intelligence

Irving Amukasa built an AI chatbot to answer questions about reproductive health for young people in Kenya. Learn more in this #humansofml interview.

Humans of Machine Learning

Exploring DNA with Deep Learning

Neural networks are transforming the way we study DNA and population genetics. Learn more about deep learning at Bayer Crop Science from Lex Flagel in this #humansofml interview.

Humans of Machine Learning

Teaching Humans How to Teach Computers

Resistance is futile — Siraj Raval will teach artificial intelligence (AI) literacy to every single person in this galactic quadrant. Learn more about Siraj's background and journey in this FloydHub #humansofml interview.

Community

Using Sentence Embeddings to Automate Customer Support, Part One

Most of your customer support questions have already been asked. Learn how to use sentence embeddings to automate your customer support with AI.

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