Deep Learning - 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.

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

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

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?

Deep Learning

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."

Deep Learning

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.

Humans of Machine Learning

Generating Classical Music with Neural Networks

Christine McLeavey Payne may have finally cured songwriter's block. Her recent project Clara is a long short-term memory (LSTM) neural network that composes piano and chamber music. Just give Clara a taste of your magnum-opus-in-progress, and Clara will figure out what you should play next.

Inspiration

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.

Humans of Machine Learning

DeOldify: Colorizing and Restoring Old Images and Videos with Deep Learning

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

Deep Learning

Found in translation: Building a language translator from scratch with deep learning

Build an English-French language translator from scratch using PyTorch.

Community

How to code The Transformer in PyTorch

Learn how to code a transformer model in PyTorch with an English-to-French language translation task

Deep Learning

Practical guide to hyperparameters search for deep learning 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.

Deep Learning

Asking questions to images with deep learning: a 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.

Community

Ten Techniques Learned 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 all over Kaggle.

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