Kaggle Challenge (LIVE)

Let's attempt a Kaggle Challenge together! This time, we'll try to solve the $100,000 "TGS Salt Identification Challenge" using a combination of Google Colab, Conditional Random Fields, and neural networks! Expect some colorful exploratory data analysis, then model building and some Q&A. Get hype! Code for this video: https://github.com/llSourcell/Kaggle_Challenge_LIVE/ Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://medium.com/@keremturgutlu/semantic-segmentation-u-net-part-1-d8d6f6005066 https://towardsdatascience.com/medical-image-segmentation-part-1-unet-convolutional-networks-with-interactive-code-70f0f17f46c6 https://spark-in.me/post/unet-adventures-part-one-getting-acquainted-with-unet https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Learn more about the School of AI: https://www.theschool.ai Challenge: https://www.kaggle.com/c/tgs-salt-identification-challenge And please support me on Patreon: https://www.patreon.com/user?u=3191693 #SirajRaval #KaggleChallenge #GoogleColab