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Best Machine Learning Toolkits for Python in 2021
| | stribny.name
Artificial Intelligence in Python
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| | Fields in Artificial Intelligence and what libraries to use to address them.
| | aimatters.wordpress.com
XOR Revisited: Keras and TensorFlow - On Machine Intelligence
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| | A few weeks ago, it was announced that Keras would be getting official Google support and would become part of the TensorFlow machine learning library. Keras is a collectionof high-level APIs in Python for creating and training neural networks, using either Theano or TensorFlow as the underlying engine. Given my previous posts on implementing an...
| | dennybritz.com
Implementing a Neural Network from Scratch in Python ยท Denny's Blog
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| | All the code is also available as an Jupyter notebook on Github.
| | blog.otoro.net
Neural Network Evolution Playground with Backprop NEAT |
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| [AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ...