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Table of Contents

:header-rows: 1

* - Date
  - Description
  - Page
* - 06/01/2022
  - Deep Learning Intro
  - Prep Work
* - 06/06/2022
  - Decoding Neural Responses Part 1
  - Prep Work
* - 06/08/2022
  - Decoding Neural Responses Part 2
  - Prep Work
* - 06/20/2022
  - Jupyter Notebook Setup
  - Prep Work
* - 06/20/2022
  - Logistic Regression
  - Prep Work
* - 06/20/2022
  - Logistic Regression Code
  - Prep Work
* - 06/21/2022
  - Logistic Regression Code Analysis
  - Prep Work
* - 06/22/2022
  - Logistic Regression Code Analysis and Bootstrap Methods and Permutation Testing
  - Prep Work
* - 06/23/2022
  - Logistic Regression Model Permutation Test
  - Prep Work
* - 06/24/2022
  - Deep Learning Tutorials
  - Prep Work
* - 06/24/2022
  - HCP Dataset Set Up and Software Installation
  - Movie Watching Data
* - 06/26/2022
  - HCP Dataset
  - Movie Watching Data
* - 06/27/2022
  - HCP Dataset Visualization
  - Movie Watching Data
* - 06/28/2022
  - HCP Dataset Summary
  - Movie Watching Data
* - 06/29/2022
  - HCP Dataset Logistic Regression Program
  - Movie Watching Data
* - 06/30/2022
  - HCP Dataset Logistic Regression
  - Movie Watching Data
* - 07/01/2022
  - HCP Dataset Logistic Regression
  - Movie Watching Data
* - 07/05/2022
  - HCP Dataset Logistic Regression Summary
  - Movie Watching Data
* - 07/06/2022
  - Permutation Testing
  - Movie Watching Data
* - 07/07/2022
  - Multiple Inference
  - Movie Watching Data
* - 07/11/2022
  - Recurrent Neural Networks
  - RNN
* - 07/12/2022
  - RNN Data Processing
  - RNN
* - 07/13/2022
  - RNN Training
  - RNN
* - 07/14/2022
  - RNN Masking and Evaluation
  - RNN
* - 07/15/2022
  - RNN with PyTorch
  - RNN
* - 07/18/2022
  - Attention Methods
  - Seq2Seq
* - 07/19/2022
  - Attention Model
  - Seq2Seq
* - 07/20/2022
  - Attention Model
  - Seq2Seq
* - 07/21/2022
  - Attention Model
  - Seq2Seq
* - 07/25/2022
  - Attention Model Masking
  - Seq2Seq
* - 07/26/2022
  - Attention Model Training
  - Seq2Seq
* - 07/27/2022
  - Attention Model Permutation Test
  - Seq2Seq
* - 07/28/2022
  - Attention Model Analysis
  - Seq2Seq
* - 07/29/2022
  - Attention Model Summary
  - Seq2Seq
* - 08/01/2022
  - Neural Networks
  - FFNN
* - 08/02/2022
  - Feedforward Network
  - FFNN
* - 08/03/2022
  - Feedforward with Attention
  - FFNN
* - 08/04/2022
  - Feedforward with Attention
  - FFNN
* - 08/05/2022
  - Feedforward with Attention Summary
  - FFNN
* - 08/08/2022
  - Feedforward Wrap-Up
  - FFNN
* - 08/10/2022
  - Transformers
  - Transformer
* - 08/11/2022
  - Simple Transformer Implementation
  - Transformer
* - 08/12/2022
  - Transformers with Multi-head Attention
  - Transformer
* - 08/15/2022
  - Transformers Training and Evaluation
  - Transformer
* - 08/16/2022
  - Transformers Summary
  - Transformer
* - 08/18/2022
  - Moving Circles RNN
  - Moving Circles Data
* - 08/19/2022
  - Moving Circles Transformer
  - Moving Circles Data
* - 08/22/2022
  - Moving Circles Dataset
  - Moving Circles Data
* - 08/23/2022
  - Padding Labels
  - Moving Circles Data
* - 08/26/2022
  - Padding and Masking
  - Moving Circles Data