AI and Deep Learning Workshop at CHARUSAT, Changa, Gujarat
May 16, 2019 to May 17, 2019
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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