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You are here		kidger.site No more shape errors! Type annotations for the shape+dtype of tensors/arrays. · Patrick Kidger
\|	\|	aimatters.wordpress.com XOR Revisited: Keras and TensorFlow - On Machine Intelligence	2.1 parsecs away Travel
\|	\|	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...	2.1 parsecs away Travel
\|	\|	github.com GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration	3.1 parsecs away Travel
\|	\|	Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch	3.1 parsecs away Travel
\|	\|	www.paepper.com Training a neural network with Numpy :: Päpper's Machine Learning Blog - This blog features state of the art applications in ...	2.1 parsecs away Travel
\|	\|	[AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization.	2.1 parsecs away Travel
\|	\|	cpury.github.io Learning Holiness with Recurrent Neural Networks \| Culture Ex Machina	11.5 parsecs away Travel
\|		Learning how to produce Bible-like texts with Recurrent Neural Networks	11.5 parsecs away Travel