Home 2017-09-13T02:40:09+00:00
2608, 2017

Gödel’s Incompleteness Theorem And Its Implications For Artificial Intelligence

August 26th, 2017|Categories: Artificial Intelligence, Cognitive Science, Philosophy|

Introduction This text gives an overview of Gödel’s Incompleteness Theorem and its implications for artificial intelligence. Specifically, we deal with the question whether Gödel’s Incompleteness Theorem shows that human intelligence could not be recreated by a traditional computer. Sections 2 [...]

2608, 2017

Deep Learning From Scratch V: Multi-Layer Perceptrons

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 5 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

2608, 2017

Deep Learning From Scratch IV: Gradient Descent and Backpropagation

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 4 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

2608, 2017

Deep Learning From Scratch III: Training criterion

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 3 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the [...]

2608, 2017

Deep Learning From Scratch II: Perceptrons

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 2 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

2608, 2017

Deep Learning From Scratch I: Computational Graphs

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 1 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Part I: Computational [...]

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