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Introduction to Deep Learning - Deep Learning basics with Python, TensorFlow and Keras p.1 Welcome everyone to an updated deep learning with Python and Tensorflow tutorial mini-series. Since doing the first deep learning with TensorFlow course a little over 2 years ago, much has changed. It's nowhere near as complicated to get started, nor do you need to know as much to be successful with deep lea
Reading game frames in Python with OpenCV - Python Plays GTA V When OpenAI's Universe came out, and various articles suggested games even like Grand Theft Auto 5 were ready to go, I was very excited in checking it out. Then, however, somewhat mysteriously, GTA V was completely removed from Universe with no explanation whatsoever. I gave up and forgot about it for a while, but the idea still seemed
Next steps for Deep Learning self driving car - Python Plays GTA V Welcome to part 8 of the Python Plays: GTA V tutorial series. After the initial release, I got tons of great ideas from all of you, along with some very useful code submissions either in the comments or by a pull request on the Github page. Thank you to everyone for contributing. First, before we move on, let's talk about some of t
Employ both supervised and unsupervised machine learning, to make predictions or to understand data.
Intro to Machine Learning with Scikit Learn and Python While a lot of people like to make it sound really complex, machine learning is quite simple at its core and can be best envisioned as machine classification. Machine learning shines when the number of dimensions exceeds what we can graphically represent, but here's a nice 2D representation of machine learning with two features: The above imag
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