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Home-Server MachineLearning

Using AI in programming Part 3

To make it short: I’m now using an existing opensource tool for VSCode which can point to my local server. It’s called open copilot and is licensed under Apache 2 which allows commercial use.

Once setting up the url for your local server you can query the extension “cody” with the icon on the left sidebar or within inline code.

Its somewhat usable on my machine.

Categories
MachineLearning

What can you do with deep learning/machine learning

I already introduced my motivation to start getting into machine learning and now i want to focus on what can you do with machine learning:

  • Image classification
  • Object detection
  • Voice recognition
  • Data science and predictions

How does this work ?

Keras / Tensorflow and other similar tools are using neuronal networks. This networks can be trained based on sample data. When trained you can insert a new sample to the model and predict its outcome.

Categories
Allgemein MachineLearning

Machine learning 1

In the last few years i heard a lot about machine learning, deep learning and machine learning. Since i was already planning to do a little bit more of python programming i want to start using it with Keras / TensorFlow to replay some of the beginner examples. I will run the examples on VMs on my new Server.

Why machine learning ?

Its simple: Its a future technology and currently a lot of companies are beginning to use it.

Why starting with TensorFlow ?

I read an article about a free “self-study guide for aspiring machine learning practitioners“. After doing the crash course and with a little bit of additional work it should be possible to aquire a certification.

What is TensorFlow / Keras ?

Tensorflow is an open-source machine learning library from Google and Keras is an abstraction layer / wrapper for Tensorflow and other similar libraries. Tensorflow allows the design of dataflow graphs where your input moves through a series of mathematical operations. Keras provides functionalities for neuronal networks.