Aayushktyagi / DeepLearning_Resources

Deep Learning Resources

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