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ML

Einsortieren

• https://github.com/lexfridman/mit-deep-learning/blob/master/tutorial_gans/tutorial_gans.ipynb

Python:

• Winpython (Portable Python Version mit allen Packages, die man so braucht inkl. tensorflow) https://winpython.github.io/
• Python Version, die ich aktuell einsetze: https://sourceforge.net/projects/winpython/files/WinPython_3.7/3.7.1.0/
• Learn Python in one Video (ca. 45min): https://www.youtube.com/watch?v=N4mEzFDjqtA

ML Grundlagen

• Machine Learning Glossary
• Google
  • Introduction to Machine Learning
  • Quick start guide into experimenting with Seedbank and Colaboratory
• 15 Statistical Hypothesis Tests in Python (Cheat Sheet)
• loss functions

Machine Learning:

• Blogs:
  • http://colah.github.io/
    • Understanding LSTM Networks
  • Blog: i am trask
    • Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)
    • A Neural Network in 13 lines of Python (Part 2 - Gradient Descent)
• Semicolon
• LSTM Implementation
• LSTM https://youtu.be/S0XFd0VMFss
• Keras LSTM tutorial
• https://adventuresinmachinelearning.com/keras-lstm-tutorial/
• GANs:
  • https://github.com/soumith/ganhacks
• Python Beispiele:
  • https://machinelearningmastery.com/
  • How to Use the TimeDistributed Layer for Long Short-Term Memory Networks in Python
  • Develop Your First Neural Network in Python With Keras Step-By-Step
  • LSTM for EMINEM lyrics
• Magnus Pedersen
  • https://github.com/Hvass-Labs/TensorFlow-Tutorials
  • TensorFlow Tutorials
  • Bsp.: Wettervorhersage
• Microsoft:
  • Artificial-Intelligence
• Paper:
  • Neural Network Identification of Non Linear Systems Using State Space Techniques.
  • Recurrent Neural Networks and Related Models
• Bücher
  • http://www.deeplearningbook.org
  • Bishop Pattern Recognition And Machine Learning - Springer 2006
  • Ground Truth Data, Content, Metrics, and Analysis
• Uni-Kurse
  • http://rail.eecs.berkeley.edu/deeprlcourse/

Ordinary Differential Equations

https://towardsdatascience.com/paper-summary-neural-ordinary-differential-equations-37c4e52df128

One shot learning

• https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/
• Apple face ID triplet loss

Tensorflow

• Udemy:
  • Complete Guide to TensorFlow for Deep Learning with Python
  • Deep Learning A-Z™: Hands-On Artificial Neural Networks
• Visualizing your model using TensorBoard
• Hands-on TensorBoard
• Deploy Keras Model to web with Flask

Image Classification

• Fashion MNIST with Keras and Deep Learning
• Multi-label classification with Keras

Embedded ML

• community.arm.com/processors/b/blog/posts
  • How to Achieve High-Accuracy Keyword Spotting on Cortex-M Processors
• How to run deep learning model on microcontroller with CMSIS-NN (Part 1)
• Parse a Simple Keras Model into ARM CMSIS NN Software Library Functions
• ARM ML-examples

X-CUBE-AI

• ST: Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI) - dm00570145
• Getting Started with STM32Cube.AI
• 

Anwendungen

• How to use news articles to predict BTC price changes
  • Maschinelles Lernen von Google: Schlüssel zur Gewinnung von Informationen aus unstrukturiertem Text