Catalog

NeuralNetwork Abstract and Links for each page

Basic

ReNom Basic Calculation using Auto Differentiation
This is an introduction of ReNom basic calculation using auto differentiation.

Functional Model
An introduction of how to build functional model.

Inference mode
Inference mode used for Dropout and Batch Normalization.

Auto Encoder
This tutorial introduces the auto encoder technique.

Trainer
An introduction of trainer function. Trainer function simplify training loop.

Saving and Loading Models
An introduction of saving and loading learned models.

Stochastic Gradient Descent(SGD) Settings
Effects of Stochastic gradient descent settings

Introduction to the Loss Function
Introduction to two basic loss funcions, and related activation functions

Hyperparameter Search
Hyperparameter search example, using the MNIST data

Correlation Coefficient and Coefficient of Determination
This is a simple introduction to correlation coefficients and coefficients of determination, using the Boston housing price dataset.

Precision and Recall
Precision and recall evaluation, using the “Adult Data Set.”

Weight Decay
How to use weight decay with ReNom using fully connected neural network model to mnist.

Dropout
Dropout using fully connected neural network model to mnist.

Concatenate Layer Output
Concatenate layer output using fully connected neural network model to mnist.


Preprocessing

Merge the Categorical Data and the Mumeric Data
How to merge the categorical data and the numeric data using adult dataset.

Resize Preprocessing for Image Classification
Resize preprocessing for image classification using caltech dataset.

Zoom Preprocessing for Image Classification
Zoom preprocessing for image classification using caltech dataset

Flip Preprocessing for Image Classification
Flip preprocessing for image classification using caltech dataset

Rotate Preprocessing for Image Classification
Rotate preprocessing for image classification using caltech dataset

Shift Preprocessing for Image Classification
Shift preprocessing for image classification using caltech dataset

ColorJitter Preprocessing for Image Classification
ColorJitter preprocessing for image classification using caltech dataset

Crop Preprocessing for Image Classification
Crop preprocessing for image classification using caltech dataset


Time Series Data

Image Data

Clustering

Regression

TDA Basic

How to use ReNom TDA
An introduction of how to use ReNom TDA.

Search Categorical Data
An introduction of searching topology.

MNIST Dataset Mapping
An introduction of MNIST dataset mapping using ReNom TDA.

Convert Excel to CSV
An introduction of converting Excel data to csv file.

How to use ReNom TDA GUI
An introduction of how to use ReNom TDA GUI.


TDA Case Study