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Logistic regression, feed forward neural network (FFN) on the (in)famous MNIST!
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Optional reading material from [Michael Nielsen](http://neuralnetworksanddeeplearning.com/):Chapters 1-4 (Do 3-5 of the optional exercises).
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Optional reading material from [Michael Nielsen](http://neuralnetworksanddeeplearning.com/) Chapters 1-4 (Do 3-5 of the optional exercises).
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### [Lab2 - CNN](https://github.com/alrojo/tensorflow-tutorial/tree/master/lab2_CNN)
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## Credits
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Exercises 1,2,3 and 5 have been inspired by the lasagne code of [skaae](https://github.com/skaae), [casperkaae](https://github.com/casperkaae) and [larsmaaloee](https://github.com/larsmaaloee) at the Technical University of Denmark [Nvidia Summer Camp](https://github.com/DeepLearningDTU/nvidia_deep_learning_summercamp_2016) and [02456 deep learning](https://github.com/DeepLearningDTU/02456-deep-learning).
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Exercises 1, 2, 3 and 5 have been inspired by the lasagne code of [skaae](https://github.com/skaae), [casperkaae](https://github.com/casperkaae) and [larsmaaloee](https://github.com/larsmaaloee) at the Technical University of Denmark [Nvidia Summer Camp](https://github.com/DeepLearningDTU/nvidia_deep_learning_summercamp_2016) and [02456 deep learning](https://github.com/DeepLearningDTU/02456-deep-learning).

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