https://github.com/anastassia-b/machine-learning

💡Compilation of notes + implementations of neural networks using Keras and TensorFlow
https://github.com/anastassia-b/machine-learning

deep-learning keras machine-learning tensorflow

Last synced: 18 days ago
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💡Compilation of notes + implementations of neural networks using Keras and TensorFlow

• Host: GitHub
• URL: https://github.com/anastassia-b/machine-learning
• Owner: anastassia-b
• Created: 2017-12-01T21:02:40.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-16T01:25:48.000Z (over 6 years ago)
• Last Synced: 2024-10-02T16:20:52.605Z (about 1 month ago)
• Topics: deep-learning, keras, machine-learning, tensorflow
• Language: Python
• Homepage:
• Size: 19.5 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Machine Learning

This repository serves as my personal notes, implementations, and explorations of various machine learning concepts.

### Lecture Series

Participated in the [deep learning lecture series](http://www.boltzmann-institute.com/) offered by Neg Ruggeri/the Boltzmann Institute from October - December 2017.

Topics:

1. Linear and Logistic Regression.

2. Gradient Descent.

3. Feed Forward Neural Networks: multilayer perceptrons and backpropagation.

4. Convolutional Neural Networks (image recognition).

5. Recurrent Neural Networks (natural language processing).

6. Long Short Term Memory (LSTM) cells. Word embeddings (word2vec).

7. Sequence to Sequence tasks. Encoder/Decoder architecture. Machine translation.

8. Autoencoders. Unsupervised representation learning.

9. Generative Adversarial Networks (image and music synthesis).

### Neural Network Implementations

Initially, I will implement the above techniques with Keras and TensorFlow. The aim is to learn through a variety of projects, to be able to explore original ideas.