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The tutorial assumes that you are somewhat familiar with neural networks and theano (the library which lasagne is built on top of). You can try to learn both at once from the deeplearning tutorial. Lasagne is a lightweight library to build and train neural networks in theano.
The available documentation is limited for now. The project is on github. Lasagne has a code coverage of 100%, which has proven very helpful in the past, but also creates some duties: Whenever you change any code, you should test whether it breaks existing features by just รขโฌยฆ Lightweight library to build and train neural networks in theano - releases lasagne/lasagne Lasagne requires numpy of version 1. 6. 2 or above, and theano also requires scipy 0. 11 or above. Numpy/scipy rely on a blas library to provide fast linear algebra routines.
Lightweight library to build and train neural networks in theano - releases lasagne/lasagne Lasagne requires numpy of version 1. 6. 2 or above, and theano also requires scipy 0. 11 or above. Numpy/scipy rely on a blas library to provide fast linear algebra routines. If you find lasagne useful for your scientific work, please consider citing it in resulting publications. We provide a ready-to-use bibtex entry for citing lasagne. Lasagne is a lightweight library to build and train neural networks in theano.
Lasagne is a lightweight library to build and train neural networks in theano.
