daniel-acuna/DL_interest_group

deep learning material from my group

Deep learning interest group

Acuna lab (http://acuna.io)

Purpose

To go over the fundamentals of deep learning using the Deep Learning book by Goodfellow, Bengio, and Courville (http://www.deeplearningbook.org/) and implement the most popular architectures using TensorFlow (https://www.tensorflow.org/).

The particular focus of this group is in examining architecures for:

• Recommendation systems for science
• Analysis of figures, specially problematic cases of image forgery and misleading graphs

Resources:

• Deep learning
• Tensor flow

Schedule

Part I:

• Spring 2018
  • Linear algebra
  • Probability and information theory
  • Numerical Computation
  • Machine Learning Basics

Part II:

• Spring 2018

  • Deep Feedforward Networks:
    • Notebook demo for logistic regression with Tensorflow

• Summer 2018

  • Convolutional Networks

Part III:

• TBA