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In this episode, we present another round of incredible deep learning applications! _________________________ 1. Colorization – http://tinyclouds.org/colorize/ 2. RNN Music on Bob Sturm’s YouTube channel – https://www.youtube.com/watch?v=RaO4HpM07hE 3. Flow Machines by Sony – https://www.youtube.com/watch?v=buXqNqBFd6E 4. RNN Passwords – https://github.com/gehaxelt/RNN-Passwords 5. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding – http://arxiv.org/abs/1510.00149 […]
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This is Grammar For Robots. What? Why? 🤖

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design ” is available here: https://people.csail.mit.edu/jiex/papers/robogrammar/index.html Breakdancing robot paper: http://moghs.csail.mit.edu/ Building grammar paper: https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/ ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers […]
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AI Impact on Insurance Panel | CogX17 Highlights | CogX

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ Being a heavily data driven business, insurance is ripe for AI disruption. Insurance tech startups received over $1.6 billion in funding in 2016 across 173 separate […]
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9 Cool Deep Learning Applications | Two Minute Papers #35

Machine learning provides us an incredible set of tools. If you have a difficult problem at hand, you don’t need to hand craft an algorithm for it. It finds out by itself what is important about the problem and tries to solve it on its own. In this video, you’ll see a number of incredible […]
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The Planet & Smart Cities: The next 500 years: Engineering life for space

The Planet & Smart Cities: The next 500 years: Engineering life for space In 2015, NASA astronaut Scott Kelly went to space while his identical twin stayed on Earth — leading to some surprising discoveries on how space travel affects the human body. Christopher E. Mason, the Head Geneticist at the time, shares the unexpected […]
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Deep Neural Network Learns Van Gogh’s Art | Two Minute Papers #6

Artificial neural networks were inspired by the human brain and simulate how neurons behave when they are shown a sensory input (e.g., images, sounds, etc). They are known to be excellent tools for image recognition, any many other problems beyond that – they also excel at weather predictions, breast cancer cell mitosis detection, brain image […]
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Google DeepMind’s Deep Q-learning playing Atari Breakout

Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. It is capable of playing many Atari games and uses a combination of deep artificial neural networks and reinforcement learning. After presenting their initial results with the algorithm, Google almost immediately acquired the […]
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Computer Vision Basics + More deeplearning.ai Progress! | Learning Intelligence 16

Welcome to the sixteenth instalment of Learning Intelligence! A VLOG series where I document my journey learning about artificial intelligence. Instead of going back to university, I’ve created my own artificial intelligence Master’s Degree to learn about the phenomenon of teaching computers to think for themselves. My AI Masters Degree – https://bit.ly/AIMastersDegree My favourite AI/ML […]
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Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings

Raia Hadsell, Senior Research Scientist, discusses beyond image recognition, end-to-end learning, and embeddings as part of the Advanced Deep Learning & Reinforcement Learning Lectures. Slides in video contain images from: Shelhamer, Long, Darrell (2016) Fully Convolutional Networks for Semantic Segmentation. ‘Labeled Faces in the Wild’ http://vis-www.cs.umass.edu/lfw/ Florian Schroff, Dmitry Kalenichenko, James Philbin (2015) Facenet: A […]
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Secrets of a Kaggle Grandmaster with David Odaibo – #354

Imagine spending years learning ML from the ground up, from its theoretical foundations, but still feeling like you didn’t really know how to apply it. That’s where David Odaibo found himself in 2015, after the second year of his PhD. David’s solution was Kaggle, a popular platform for data science competitions. Fast forward four years, […]
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PyTorch RNN Tutorial – Name Classification Using A Recurrent Neural Net

Implement a Recurrent Neural Net (RNN) from scratch in PyTorch! I briefly explain the theory and different kinds of applications of RNNs. Then we implement a RNN to do name classification. This tutorial is closely oriented on the following article: https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ 🪁 Code faster with Kite: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=pythonengineer&utm_content=description-only […]
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15:14

Match 5 15 Minute Summary – Google DeepMind Challenge Match 2016

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Match 3 15 Minute Summary – Google DeepMind Challenge Match 2016

15 minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today’s third match between DeepMind’s program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. In October 2015, AlphaGo became the first computer program ever to […]
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Double Deep Q Learning Is Simple with Keras

In this tutorial you are going to code a double deep Q learning agent in Keras, and beat the lunar lander environment. Double Q Learning resolves the inherent bias in Q learning by decoupling action selection and action-value estimation. Silver et al. showed in 2015 that we can get significantly better results than vanilla deep […]
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PyTorch Tutorial – RNN & LSTM & GRU – Recurrent Neural Nets

Implement a Recurrent Neural Net (RNN) in PyTorch! Learn how we can use the nn.RNN module and work with an input sequence. I also show you how easily we can switch to a gated recurrent unit (GRU) or long short-term memory (LSTM) RNN. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ 🪁 Code faster with […]
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Perceptron in Python – Machine Learning From Scratch 06 – Python Tutorial

Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook In this Machine Learning from Scratch Tutorial, we are going to implement a single-layer Perceptron algorithm using only built-in Python modules and numpy. We will also learn about the concept and the math behind this popular ML algorithm. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ 🪁 Code faster […]