Deep Learning Resources

Repository contains variour Machine learning , Deep learning and computer vision approaches

Image Processing

Notebook Covers following

Loading image using opencv
Using filter for Edge computation
Feature extraction and visualization using HOG.

PyRadiomics

Notebook Cover following

Loading images
Image visualization with segemenation
Feature extraction using Pyradiomics

Logistic and linear regression

Notebook Covers following

Loading dataset into csv format(Heart disease dataset for logistic regression and diabetes dataset for linear regression)
converting pandas dataframe to tf.data format
Convarience matrix calculation
Training linear regression using Sklearn
Training logistic regresison using tensorflow

SVM

Notebook Covers following

Loading dataset in csv format
Training SVM with Grid Search
Model evaluation

ResNet 50 Baseline

Notebook covers following

Loading data from directory using flow_from_dir function
Data augmentation using ImageDatagenerator
Validation split from same dataset
Train ResNet50 as Backbone
Evaluating the Model

Aptos challenge

Notebook covers following

Loading data with csv file and directory
Data Visualization
ResNet 50 , Xception Net and NASNet as backbone for Fine Tuning
Data loader with Augmentation
Confusion metrics for evaluation

UefficientNet

Notebook covers following

Loading images from folder custom data loader
EfficientNet as Unet backbone
Loss function IOU Dice
Custom callback for evalauting on test set while training
Segmentation visualization
evalaution

Vae

Notebook covers following

Loading image from directory
Custom Encoder and Decoder
KL and mse loss
visualization
evalaution

Hyper-parameter tuning

Notebook covers following

Uses cancer stage classification dataset
Training DNN model
Hyper-parametert tuning
visualization
Evaluation