Thank you so much for the course. So much interesting.

so excited for this!

First thank you Alexander and Ava for sharing the knowledge After watching these videos, I realized that learning machine learning is not just a skill; teaching is a much bigger skill.

Cool and well-sorted.

Awesome lecture. 🎉

thank you for the amazing content, please add the slides for this lecture in the website, its still not there, cheers :)

Not a MITian but learning in MIT

Beauty with brain ❤

Queen

First thank you Ava for sharing the knowledge. I'm not able to understand, why the standard auto-encoder does a deterministic operation?

@akshay5011

6 сағат бұрын

I guess its because once the training is done and as the neural network weights are fixed , as there is no backpropogation etcc.., involved after training , the weights couldn't change and thus for every input you would get the same output as learnt function doesnt involve any probabilistic element.

awesome, many thanks for your initiative ! keep up the great work

5 mins more let's gooooo

I have a dataset of 120 images of cell phone photographs of the skin of dogs sick with 12 types of skin diseases, with a distribution of 10 images for each dog. What type of Generative Adversarial Network (GAN) is most suitable to increase my dataset with quality and be able to train my DL model? DcGAN, ACGAN, StyleGAN3, CGAN?

@TechWithAbee

Ай бұрын

just try them out

@faridsaud6567

Ай бұрын

Try fine tuning the models with your data

when gpt 4o lectures :D

Spellbound by the lecture, great insights. Is she Indian

@dragonartgroup6982

10 күн бұрын

She's Persian

Nice amini teaching❤ and your curly hair nice😮