DL_utils

This repo contains list of relevent and useful commands and/or functions for Deep Learning:

1. basic_dl (Google collab)

   1. Code for - Tensorboard in pytorch : writing scalars, hparam, weight distributions and histograms.
   2. Non-Tensorboard Confusion Matrix
   3. Code snippets from Aladdin Persson.

2. Feat_ext

   1. sample code of a model with pretrained model as feature extractor.

3. Inline_plot

   1. code for image and video inline plotting/display in a notebook.

4. Webcam Obj_det

   1. code for running object detection using yolo3 cpu in terminal

5. frame extract

   1. extract frames from videos/webcam stream.

6. writing vid

   1. after processing frames from local video file or camera stream, save it as video. Using Opencv

7. 1layer_nn.py

   1. code for single forward and backward pass in 1 layer neural network.

8. webcam segmentation

   1. code for online webcam segmentation and visualisation.

9. attn conditional

   1. code for conditional attn

10. spacy basics

    1. basic spacy comands for text preprocessing.

11. tflite model converter

    1. code for converting model to tf lite compatible model

12. Using tfrec filetype

    1. code for using files in tfrec dataformat