Recommended  for DL in Edge Native ( 10 hours  )

7d, 5d, 5a, 5b,3,4,  and 7b ( Create your own Data Set )

Recommended  for DL in Cloud Native (6 hours  )

1b  ( Data Set Handling ) 

2b ( Training DL model )

6d ( Inference as a Micro service )

7c, 7b ( Create your own Data Set )

3 ,4 ( save and Load)

Recommended  for DL in Cloud Native and also Edge Native  ( 30 hours  )

1a , 1b   ( Data Set Handling ) 

2a, 2b, 2c,2d ,2e , 3, 4 ( Training DL model )

6a, 6b, 6c, 6d ( Inference as a Micro service )

5a, 5b, 5c, 5d ( Inference in on prime CPU , iot Edge )

7b ( Create your own custom Data Set )

7a,  7c, 7d  , Explore theory side of DL Model ) 

3 ,4 ( save and Load)

 JPG files in annotation.ai Storage  ( service deprecated ) 

1a

 (deprecated)

Training in Colab

Training in Power 9 CPU

Training  in Power 9 CPU + RTX 2070 GPU

2d (deprecated)

 Training  in Jetson Nano GPU

Web Service Using Flash Micro Framework

 JavaScript to run TensorFlow Model in Browser

Serving TensorFlow Model

 DLtrain in Windows Machine

 Deep Learning Network Model