https://github.com/razielar/deep-learning-ai-barcelona-2018

https://github.com/razielar/deep-learning-ai-barcelona-2018

cnn deep-learning machine-learning nlp unsupervised-learning

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/razielar/deep-learning-ai-barcelona-2018
• Owner: razielar
• Created: 2018-04-23T16:35:56.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-03-23T22:23:52.000Z (about 5 years ago)
• Last Synced: 2025-01-11T14:48:38.470Z (4 months ago)
• Topics: cnn, deep-learning, machine-learning, nlp, unsupervised-learning
• Language: Jupyter Notebook
• Size: 23 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Deep-Learning AI Barcelona

### Content:

1. [Introduction](#intro)

2. [Deep Learning](#dp)

3. [Unsupervised Learning](#unsup)

4. [Logistic Regression](#logistic)

## 1)  Introduction:

Some examples of Numpy and Pandas.

## 2)  Deep Learning:

## 2.1) CNN:

Implement a Convolutional Neural Network (CNN) using **Keras API** (Tensorflow backend) for digit recognition trained on MNIST dataset.

## 3)  Unsupervised Learning:

## 3.1) Clustering:

### 3.1.1) GMM

Gaussian Mixture Model

## 3.2) Dimensionality Reduction:

### 3.2.1) Isomap

## 4)  Logistic Regression:

Logistic regression with a **neural network mindset**. Use this linear classifier to recognize cats and dogs.