Deep Learning - FloydHub Blog (Page 2)

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Deep Learning

A collection of 45 posts

Inverting Facial Recognition Models

Inverting Facial Recognition Models

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

Spinning Up a Pong AI With Deep Reinforcement Learning

Deep Learning Featured

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."

Reading Minds with 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.

Generating Classical Music with Neural Networks

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.

Recognize relatives using deep learning

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.

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

Humans of Machine Learning Featured

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.

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

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

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

How to code The Transformer in PyTorch

How to code The Transformer in PyTorch

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

Practical Guide to Hyperparameters Optimization for Deep Learning Models

Deep Learning Featured

Practical Guide to Hyperparameters Optimization 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.

Asking questions to images with deep learning: a visual-question-answering tutorial

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.

Ten Techniques Learned From fast.ai

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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.

Teaching My Robot With TensorFlow

Inspiration Featured

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 [https://www.anki.com/en-us/cozmo] is

Turning Design Mockups Into Code With Deep Learning

Deep Learning Featured

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.

Benchmarking FloydHub instances

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 the same tests as used by the Tensorflow project. The Tensorflow benchmark process is explained here [https:

Checkpointing Tutorial for TensorFlow, Keras, and PyTorch

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 [https://www.floydhub.com/?utm_source=blog&utm_medium=banner-checkpointing-strategy&utm_campaign=try_floydhub_for_free] This post will demonstrate how to checkpoint your training models

Colorizing B&W Photos with Neural Networks

Deep Learning Featured

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.

Building Your First ConvNet

Building Your First ConvNet

Learn how to build your first ConvNet (Convolutional Neural Networks) to classify dogs and cats.

Getting Started with Deep Learning on FloydHub

Getting Started with Deep Learning on FloydHub

This post is aimed at helping new users (especially the ones who are starting out & cannot afford Andrej Karpathy’s rig [https://twitter.com/karpathy/status/648256662554341377]) setup an on-the-go deep learning solution for their small to medium sized projects. I’ll be covering the following - * Getting started

Coding the History of Deep Learning

Coding the History of Deep Learning

There are six snippets of code that made deep learning what it is today. This article covers the inventors and the background to their breakthroughs. Each story includes simple code samples on FloydHub and GitHub to play around with.

My First Weekend of Deep Learning

My First Weekend of Deep Learning

The current wave of deep learning took off five years ago. Exponential progress in computing power followed by a few success stories created the hype. It’s the technology that drives cars, beats humans in Atari games, and diagnoses cancer.