Author announces the 3rd edition of Python Machine Learning, featuring TensorFlow 2.0 updates and a new chapter on Generative Adversarial Networks.
Explores the visual similarities between images generated by neural networks and human experiences in dreams or under psychedelics.
A blog post exploring the parallels and differences between human cognition and machine learning, including biases and inspirations.
A professor reflects on teaching new Machine Learning and Deep Learning courses at UW-Madison and showcases impressive student projects.
An overview of tools and techniques for creating clear and insightful diagrams to visualize complex neural network architectures.
A recap of PyData Warsaw 2017, covering key talks, new package announcements, and analytics on the conference's international attendees.
A guide for beginners on how to start learning deep learning using the Keras library, including recommended resources and prerequisites.
A speculative look at future technologies including brain-computer interfaces, quantum computing, AI, and bio-implants.
A curated list of five interesting Python tutorials covering music generation, computer vision, data science, and popular modules.
A summary of the author's experience and key takeaways from attending the PyData Berlin 2016 conference, including notable talks.
