Computer Vision with Deep Learning

Repository for Computer Vision related topics and applications using DL frameworks, viz., TensorFlow 2 and PyTorch.

Work done so far:

1. Computer Vision mathematical theory - Batch normalization cancellation
2. Exponentially weighted average
3. LeNet-5 CNN
4. Training a CNN using TensorFlow2 - 'tf.GradientTape' API
5. Conv-6 CNN (VGG styled CNN)
6. InceptionNet-v1 CNN (PyTorch)
7. ResNet-18 - PyTorch & TensorFlow2
8. ResNet-34 - PyTorch
9. ResNet-50 - PyTorch (swish/relu activation functions)
10. VGG-16/17 - TF2 - PyTorch 1.11
11. VGG-18 - TF2 (linear warmup + step-decay) learning rate scheduler with tf.GradientTape
12. VGG-18 - PyTorch (linear warmpup + step decay) learning rate scheduler
13. Implementing Fully-Connected layer(s) as convolutional layer(s)
14. Learning rate: decay, warmup and scheduler
15. Transfer Learning (ResNet-50) on CIFAR-10
16. Object Localization from scratch using emoji dataset and TF-2.8