Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
The quest to evolve neural networks through evolutionary algorithms.
Improving software with the help of a community takes patience and organization.
Classifying traffic signs with Apache MXNet: An introduction to computer vision with neural networks
Step-by-step instructions to implement a convolutional neural net, using a Jupyter Notebook.
Recent AI breakthroughs transform speech recognition.
DIY with Amazon Echo and Raspberry PI: Recognize thousands of people at your door every month, for pennies.
A new role focused on creating data products and making data science work in production.
Watching the appeal and applications of machine intelligence expand.
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A demonstration of basic reinforcement learning problems.
Step-by-step instruction on training your own neural network.
Adventures in deep learning, cheap hardware, and object recognition.
Building and training your first TensorFlow graph from the ground up.
Learn how Facebook and other trailblazers use AI technologies to recognize human features.
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