My_OldDLcodes

Some of my implementations of a few interesting deep learning models (using Tensor Flow) including:

1. LSTM based Attention for machine translation.
2. Triplet loss for face recognition.
3. Car detection (YOLO) for autonomous cars.
4. ResNet.
5. Building CNN from scratch without any deep learning package.
6. Simple recognition task using CNN in TF with step by step details.
7. RNN from scratch.

Most of the codes are from my humble beginning and are based on amazing Deep learning specialization (deeplearning.ai) programming assignments that I have taken several years ago.