Channel: LearnCode.academy

Category: Howto & Style

Tags: irissirajneuraljsrelulearningtensormachine learningneural networkjavascriptartificial intelligencenetworkdeep learningtensorflowtensorflow.jsbeginnermachineiris datasetsigmoidjsonrecommendation enginerivalflow

Description: In just a few lines of code, we can build and train a neural network with Google's Tensorflow.js. Birthed by Google engineers, TensorFlow is an amazing machine learning library with a great community and LOTS of tooling and visualization resources. Get the source code: gist.github.com/learncodeacademy/a96d80a29538c7625652493c2407b6be This video walks beginners through the library and helps them understand how to piece together different layers of a neural network to solve iris dataset with machine learning in just a few minutes. Other Videos: Machine Learning Introduction: youtube.com/watch?v=9Hz3P1VgLz4&t=12s&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=2 Machine Learning Recommendation Engine: youtube.com/watch?v=lvzekeBQsSo&t=0s&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=3 Neural Networks Explained: youtube.com/watch?v=GvQwE2OhL8I&t=443s&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=4 Neural Networks Explained Pt 2: youtube.com/watch?v=9ZsyQZouOQ8&t=2s&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=5 Machine learning and neural networks are great at solving non linear data that would otherwise be very difficult to solve with standard algorithms. -~-~~-~~~-~~-~- Also watch: "Tailwind CSS - why CSS utility classes save so much time" youtube.com/watch?v=oU5ar0dmQEY -~-~~-~~~-~~-~-