SEBASTIAN MANTEY
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Basics of Deep Learning p.9 - Backpropagation explained Step by Step

1/21/2020

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Basics of Deep Learning p.8 - Backpropagation explained: Chain Rule and Activation Function

1/15/2020

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Basics of Deep Learning p.7 - Backpropagation explained: Gradient Descent and Partial Derivatives

1/15/2020

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Basics of Deep Learning p.6 - Backpropagation explained: Cost Function and Derivatives

1/15/2020

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Basics of Deep Learning p.5 - Implementing the Feedforward Algorithm with NumPy

1/12/2020

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Basics of Deep Learning p.4 - Implementing the Feedforward Algorithm in pure Python cont'd

1/12/2020

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Basics of Deep Learning p.3 - Implementing the Feedforward Algorithm in pure Python

1/12/2020

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Basics of Deep Learning p.2 - Feedforward Algorithm explained

1/6/2020

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Basics of Deep Learning p.1 - Introduction

1/6/2020

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Git Tutorial with Python p.5 – Working with a Remote Repo on GitHub

1/3/2020

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