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We're going to predict the closing price of the S&P 500 using a special type of recurrent neural network called an LSTM network. I'll explain why we use recurrent nets for time series data, and why LSTMs boost our network's memory power. Coding challenge for this video: https://github.com/llSourcell/How-to-Predict-Stock-Prices-Easily-Demo Vishal's winning code: https://github.com/erilyth/DeepLearning-SirajologyChallenges/tree/master/Image_Classifier Jie's runner up code: https://github.com/jiexunsee/Simple-Inception-Transfer-Learning More Learning Resources: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ http://deeplearning.net/tutorial/lstm.html https://deeplearning4j.org/lstm.html https://www.tensorflow.org/tutorials/recurrent http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/ https://blog.terminal.com/demistifying-long-short-term-memory-lstm-recurrent-neural-networks/ Please subscribe! And like. And comment. That's what keeps me going. Join other Wizards in our Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 music in the intro is chambermaid swing by parov stelar Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Machines that can think, learn and adapt are coming -- and that could mean that we humans will end up with significant unemployment. What should we do about it? In a straightforward talk about a controversial idea, futurist Martin Ford makes the case for separating income from traditional work and instituting a universal basic income. Check out more TED Talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Skillshare might not like this. You can sign up for a 2 month trial for Skillshare, complete the data science course and then cancel your membership before being charged: http://engineeredtruth.com/skillshare-data-science Skillshare is the Netflix of online courses. Subscribe for just $15 per month to get access to over 18,000+ courses (some better than others) Check out Joma's YouTube channel here: https://www.youtube.com/watch?v=t6lBeG5QaC4 The skillshare link is an affiliate link https://Facebook.com/EngineeredTruth https://Twitter.com/EngineeredTruth https://Instagram.com/EngineeredTruth
These are 10 strategies I use to learn advanced concepts as fast as possible! I'm going to explain each one, and give some examples of what I mean. No coding challenge this week, hope its helpful! 10 Strategies below: 1. Find a reason to learn 2. Start with the simplest explanations 3. Create a set of small, achievable goals 4. Set Deadlines 5. Maintain a flow state 6. Let your curiosity guide your learning path 7. Spend 1/3 of your time researching & 2/3 doing 8. Take notes by hand 9. Dont multitask 10. Maintain your Health (yes, i mis-numbered some of them in the video accidentally) Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Cozmo - https://anki.com/en-us/cozmo NVIDIA AI Car - http://nvda.ws/2cBewNI Moley Robot - http://www.moley.com/ Sawyer Robot - http://www.rethinkrobotics.com/sawyer-intera-3/ Google DeepMind Alpha GO - https://deepmind.com/research/alphago/ Berkeley BRETT (PR 2)- http://rll.berkeley.edu/deeplearningrobotics/ Google Research hand-eye coordination - https://research.googleblog.com/2016/03/deep-learning-for-robots-learning-from.html Solo Emotional Radio - http://uniform.net/work/projects/solo/ Google Speech Recognition - https://cloud.google.com/speech/ Kuka Self-Learning robot - http://www.kuka-robotics.com/en/
Tensorflow is a popular open source machine learning library released by Google that allows developers to build ML models easily. How are you supposed to build an AI business using Tensorflow? There are so many startups and companies using Tensorflow in production environments with sometimes millions of users relying on the software. In this video, I'm going to explain how all the different tools in the Tensorflow ecosystem (Serving, Lite, Imperative Programming, Visualizations, etc.) work together to allow the developer to use an end to end pipeline for developing and deploying AI software. We'll go over code, theory, and we'll think through two business use cases for applying AI to a problem. Hope you like it!
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