Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory - Free eBook

## [Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory](https://arxiv.org/abs/2310.20360)


### **Authors:**
* Arnulf Jentzen,
* Benno Kuckuck,
* Philippe von Wurstemberger

This book aims to provide
*an introduction to the topic of **deep learning** algorithms*.

We review
**essential components of deep learning algorithms** in
**full mathematical detail** including
* different **artificial neural network** (ANN) architectures such as
* fully-connected feedforward ANNs,
* convolutional ANNs,
* recurrent ANNs,
* residual ANNs, and
* ANNs with batch normalization

* and different …

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