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.
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.
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.
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 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.
Deep Learning Building Your First ConvNet Convolutional Neural Networks (ConvNets) are increasingly popular, and for all the right reasons. ConvNets have the unique property of retaining translational invariance. In elaborative terms, they exploit spatially-local correlation by enforcing a local
