When Not to Choose the Best NLP Model

The world of NLP already contains an assortment of pre-trained models and techniques. This article discusses how to best discern which model will work for your goals. | Continue reading


@blog.floydhub.com | 16 days ago

N-Shot Learning: Learning More with Less Data

Is it possible to use machine learning with small data? Yes, it is! Here's N-Shot Learning. | Continue reading


@blog.floydhub.com | 21 days ago

Gated Recurrent Unit (GRU) with PyTorch

The Gated Recurrent Unit (GRU) is the newer version version of the more popular LSTM. Let's unveil this network and explore the differences between these 2 siblings. | Continue reading


@blog.floydhub.com | 1 month ago

Becoming One with the Data

This article discusses effective ways of handling the data in machine learning projects. | Continue reading


@blog.floydhub.com | 1 month ago

Scrape and EDA on Hacker News Whoishiring

Getting sufficient clean, reliable data is one of the hardest parts of data science. Web scraping automates the process of visiting web pages, downloading the data, and cleaning the results. With this technique, we can create new datasets from a large compendium of web pages. | Continue reading


@blog.floydhub.com | 1 month ago

How to plan and execute your ML and DL projects

This article gives the readers a checklist to structure their machine learning (applies to deep ones too) projects in effective ways. | Continue reading


@blog.floydhub.com | 1 month ago

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. | Continue reading


@blog.floydhub.com | 2 months ago

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. | Continue reading


@blog.floydhub.com | 2 months ago

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. | Continue reading


@blog.floydhub.com | 2 months ago

Using Deep Learning 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 | Continue reading


@blog.floydhub.com | 3 months ago

An Introduction to Q-Learning: Reinforcement Learning

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


@blog.floydhub.com | 3 months ago

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 | Continue reading


@blog.floydhub.com | 3 months ago

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 | Continue reading


@blog.floydhub.com | 3 months ago

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. | Continue reading


@blog.floydhub.com | 3 months ago

A Gentle Introduction to Text Summarization in Machine Learning

Text summarization is a common in machine learning. In this article, we'll explore how to create a simple extractive text summarization algorithm. | Continue reading


@blog.floydhub.com | 4 months ago

Introduction to Anomaly Detection in Python

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


@blog.floydhub.com | 4 months ago

Deep Learning NLP: Top Trends for 2019

Let's undercover what they will be the Top 10 NLP trends of 2019 | Continue reading


@blog.floydhub.com | 5 months ago

Building a fashion search engine 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 | Continue reading


@blog.floydhub.com | 6 months ago

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. | Continue reading


@blog.floydhub.com | 6 months ago

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. | Continue reading


@blog.floydhub.com | 6 months ago

Haggis, not haggis

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. | Continue reading


@blog.floydhub.com | 7 months ago

Inverting facial recognition models

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


@blog.floydhub.com | 7 months ago

Automating Customer Support Using NLP and Deep Learning

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


@blog.floydhub.com | 7 months ago

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. | Continue reading


@blog.floydhub.com | 7 months ago

Using sentence embeddings to automate Customer Support

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


@blog.floydhub.com | 8 months ago

Spinning Up a Pong AI with Keras and OpenAI

Dive into deep reinforcement learning by training a model to play the classic 1970s video game Pong — using Keras, FloydHub, and OpenAI's "Spinning Up." | Continue reading


@blog.floydhub.com | 8 months ago

Spinning Up a Pong AI with Deep Reinforcement Learning

Dive into deep reinforcement learning by training a model to play the classic 1970s video game Pong — using Keras, FloydHub, and OpenAI's "Spinning Up." | Continue reading


@blog.floydhub.com | 8 months ago

Reading minds with deep learning

Explore the latest trends in Brain-Computer Interfaces - and train a deep learning model to predict what people are doing from fluctuations in their brain voltage readings. | Continue reading


@blog.floydhub.com | 8 months ago

Generating classical music with LSTM neural networks

Christine McLeavey Payne may have finally cured songwriter's block. Her project Clara is an LSTM neural network that composes piano and chamber music. Learn more in this @floydhub #humansofml inteview. | Continue reading


@blog.floydhub.com | 8 months ago

Recognize relatives with deep learning

Building a cousin image classification app using a convolutional neural net for your Thanksgiving family reunion using fast.ai and FloydHub. | Continue reading


@blog.floydhub.com | 8 months ago

Thanksgiving Cousin Classifier: Recognize Relatives Using Deep Learning

Building a cousin image classification app using a convolutional neural net for your Thanksgiving family reunion using fast.ai and FloydHub. | Continue reading


@blog.floydhub.com | 9 months ago

Colorizing and restoring images with GANs

Jason Antic's DeOldify deep learning project not only colorizes images but also restores them with stunning results. Learn more in this FloydHub #humansofml interview. | Continue reading


@blog.floydhub.com | 9 months ago

Colorizing and Restoring Old Images with Deep Learning

Jason Antic's DeOldify deep learning project not only colorizes images but also restores them with stunning results. Learn more in this FloydHub #humansofml interview. | Continue reading


@blog.floydhub.com | 9 months ago

Code the Transformer in PyTorch

Learn how to code a transformer model in PyTorch with an English-to-French language translation task on the FloydHub blog. | Continue reading


@blog.floydhub.com | 9 months ago

Building a language translator from scratch with deep learning

Building an English-French language translator neural network from scratch with deep learning. | Continue reading


@blog.floydhub.com | 10 months ago

Practical guide to hyperparameter search for DL models

Learn techniques for identifying the best hyperparameters for your deep learning projects, including code samples that you can use to get started on FloydHub. | Continue reading


@blog.floydhub.com | 11 months ago

Building a Shake Shack crowd-counting app using CoreML

The @FloydHubHQ #humansofml interview with Dimitri Roche - a software engineer who built a @ShakeShack crowd-counting @Apple @CoreML app using #DeepLearning and @FloydHubHQ | Continue reading


@blog.floydhub.com | 11 months ago

Asking questions to images with deep learning-Visual Question Answering tutorial

In this deep learning tutorial, we'll build Visual Question Answering (VQA) model that allows people to ask open-ended, common sense questions about the visual world. | Continue reading


@blog.floydhub.com | 1 year ago

Deep learning beginner to expert: 10 techniques from Fast.ai

Right now, Jeremy Howard – the co-founder of fast.ai – currently holds the 105th highest score for the plant seedling classification contest on Kaggle, but he's dropping fast. Why? His own students are beating him. And their names can now be found across the tops of leaderboards … | Continue reading


@blog.floydhub.com | 1 year ago

Humans of ML Inteview: Kalai Ramea

The FloydHub #humansofml interview with Kalai Ramea - a researcher at Palo Alto Research Center where she works on fundamental machine learning research involving computer vision, NLP, and big data analytics. | Continue reading


@blog.floydhub.com | 1 year ago

Humans of ML: Leanne Luce

The @FloydHubHQ #HumansOfML Interview with Leanne Luce -- designer, technologist, and author of the upcoming book "Artificial Intelligence for Fashion." | Continue reading


@blog.floydhub.com | 1 year ago

Generating Commencement Speeches with Markov Chains

Generate your own commencement speeches using Markov chains in Python on FloydHub. | Continue reading


@blog.floydhub.com | 1 year ago

Generating Commencement Speeches with Markov Chains

Generate your own commencement speeches using Markov chains in Python on FloydHub. | Continue reading


@blog.floydhub.com | 1 year ago

Workspaces on FloydHub

Meet Workspaces 👋- a new cloud IDE for deep learning, powered by FloydHub GPUs | Continue reading


@blog.floydhub.com | 1 year ago

Teaching My Robot with TensorFlow

If you're like me, then you'd do pretty much anything to have your own R2-D2 or BB-8 robotic buddy. Just imagine the adorable adventures you'd have together! I'm delighted to report that the Anki Cozmo is the droid you've been looking for. Cozmo is big personality packed into a i … | Continue reading


@blog.floydhub.com | 1 year ago