Using an Image Dataset to Train an AutoML Model Reviews

Fernando A. · Reviewed about 2 years ago

一柳 一. · Reviewed about 2 years ago

Model training did not finish withiin the allotted tiime.

Neil R. · Reviewed about 2 years ago

Piotr P. · Reviewed about 2 years ago

Edilson P. · Reviewed about 2 years ago

A ideia do lab é interessante, porém o modelo leva muito tempo para treinar e não deu tempo para fazer a predição e explorar melhor o modelo treinado.

Adriana T. · Reviewed about 2 years ago

David Rampagni Conrado C. · Reviewed about 2 years ago

Kathiuska C. · Reviewed about 2 years ago

too long... could we use an already trained model to do the deploy part instead of waiting for hours?

Dante S. · Reviewed about 2 years ago

Eric B. · Reviewed about 2 years ago

o tempo de treino dos modelos não foi suficiente para finalizar completamente o lab

Maro L. · Reviewed about 2 years ago

Thiago M. · Reviewed about 2 years ago

1 star less because I was struggling to cover the steps on time not because of my capability but because importing the dataset, training the model and deploying the model took more time than expected. I think the latency in the network should be considered and instead of a single hard stop based on timer there should be a soft stop and the timer should continue and post the soft stop the points/grades should be deducted based on delay.

Rishab S. · Reviewed about 2 years ago

Namit K. · Reviewed about 2 years ago

Julian Cæsar A. · Reviewed about 2 years ago

David G. · Reviewed about 2 years ago

Rodrigo D. · Reviewed about 2 years ago

finished model deployment

Tiramanat B. · Reviewed about 2 years ago

Daniel S. · Reviewed about 2 years ago

Batuhan G. · Reviewed about 2 years ago

Vaishnavi R. · Reviewed about 2 years ago

Manish K. · Reviewed about 2 years ago

Ketan M. · Reviewed about 2 years ago

Channaka N. · Reviewed about 2 years ago

It's really really really really really really very fast and takes very little time to finish the lab.

Victor M. · Reviewed about 2 years ago