Thank you all for being the part of Entirety.ai Phase-1 Journey where our only intention was to get people started with Deep Learning by going over the key ideas and concepts required for Deep Learning models.In Phase 1 we set the objective to cover the following:

1. Getting Started with Machine Learning and Deep Learning
2. Image Classification
3. Model Fine Tuning
4. Image Retrieval
5. Deep Dive into Pytorch Framework

From the feedbacks we received, we are confident to say that we delivered to the expectations which we set at the beginning of Phase-1.

To deepen your understanding on concepts discussed in Phase 1,we would encourage you to work on the selected projects.Find the details about these projects in Phase1-Assignment.md file on Gitlab .Feel free to choose one or more projects that excites you and get started.

Also we have uploaded all the videos related to Phase 1 on Youtube. You can find the details under Phase-1 Recorded Sessions.txt

To continue our journey in Deep Learning ,we will soon be starting with Phase-2 (from March 30th ) and will try to cover the following:

1. OBJECT DETECTION
   1. SSD
   2. FASTER R_CNN
   3. YOLO V3
   4. LANDMARK DETECTION
2. SEMANTIC SEGMENTATION
   1. FCN
   2. UNET
3. INSTANCE SEGMENTATION
   1. MASK - RCNN

Until then

KEEP CALM AND DO DEEP LEARNING !!!

Could you share the streaming link