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 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 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 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.
Inspiration 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
Deep Learning Turning Design Mockups Into Code With Deep Learning Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software.
Deep Learning Benchmarking FloydHub instances This post compares all the CPU and GPU instances offered by FloydHub, so that you can choose the right instance type for your training job. Benchmark For our benchmark we decided to use
Deep Learning Checkpointing Tutorial for TensorFlow, Keras, and PyTorch Ready to build, train, and deploy AI? Get started with FloydHub's collaborative AI platform for free Try FloydHub for free This post will demonstrate how to checkpoint your training models on FloydHub so
Deep Learning Colorizing B&W Photos with Neural Networks I’ll show you how to build your own colorization neural net in three steps. The first section breaks down the core logic. We’ll build a bare-bones 40-line neural network as an “Alpha" colorization bot.
