Overall Feedback of the Workshop

Rikin: great for learn concept of ML and DL

Rachana Patel: Good

isha patel: yes

Krishna Kant: Good Initiative for research work

Dippal Israni: The workshop is really excellent. All topics related to Computer Vision, Machine Learning were covered.

TUSHAR MEHTA: VERY GOOD WORKSHOP

Niyati Shah: Keep Updating us with the future workshops and events .

Dharmendra Patel: The workshop covers all basic aspects that require for CNN.

Gaurang Pandya: keep inform us for future workshop or STTP like this.

GAUTAM HEMANGINI BADANSINGH: EXCELLENT....ALWAYS WANT TO PARTICIPATE IN THIS TYPE OF STTP.

Imtiyaz Padarshi: Presentation and exercise is very helpful for the beginners and learners

Dharmendrasinh Rathod: It was very Good Experience through the all days and lots of new thing and new technologies are learn.

Dr. Shivang Patel: satisfactory and worth to gain something new

shailee shah: keep doing this with basic topics

Nirali Honest: Practical hands-on is helpful , and cloning helps to download the work, which can be referred and practiced even later.

POOJA PAREKH: Need more time for practical hands on.

Hiral A. Patel: CHARUSAT is the right place to learn concepts

Mittal Desai: It was really nice experience as even experts brought coding and they have explain even coding thoroughly. Very advance topic like GANs are also provided with practical exposure.

Jaideepsinh Raulji: Workshop was loaded with full of knowledge and handson

Aditya Patel: Provides exposure to advanced machine learning topics. The workshop pre-requisites should be clearly mentioned.

Vibhuti Patel: Keep arranging such kind of STTP.

DHIRENDRA NARANBHAI TANDEL: Keep arranging such kind of STTP and if possible do it twice a year as and when possible

Jinal Shah: Keep arranging such kind of STTP .

Krupali Busa: The hospitality of the university is too good. The speaker selection is good.

Vinay Vachharajani: "Many concepts including some mathematical concepts of ML were clear which were not cleared earlier How to trained and implement model that was covered"

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