Deep Learning Studio

Por Deep Cognition

5 / 5 6 reseñas
Deep Learning Studio

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Valoración media

6 reseñas
  • En general 5 / 5
  • Facilidad de uso 4.5 / 5
  • Atención al cliente 5 / 5
  • Funciones 5 / 5
  • Relación calidad-precio 5 / 5

Detalles del producto

Datos del proveedor

  • Deep Cognition
  • http://deepcognition.ai

Sobre Deep Learning Studio

Solution for creating and deploying AI. Use a drag & drop interface to design deep learning models with ease

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Las reseñas más útiles de Deep Learning Studio

Deep Cognition is my go to AI tool when I have to implement models that need to be put in production

Traducir con Google Revisado el 25/6/2018
Viswanath P.
CTO and Principal Data Scientist
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña 
Fuente: asdf
5/5
En general
5 / 5
Facilidad de uso
5 / 5
Características y funcionalidad
5 / 5
Asistencia técnica
5 / 5
Relación calidad-precio
Probabilidad de recomendación:
Muy baja Muy alta

Comentarios: Easy of use. Less head ache configuring GPU drivers and debugging low level code.

Puntos a favor: It lets me focus on the Neural Network architectures instead of worrying about low level code details. Their AutoML feature is handy when I have to see what the leading Neural Network architecture for the specific problem is. I also teach Deep Cognition in our Data Science program after making the students go through basics using Tensorflow and Keras. We teach neural networks along side with traditional ML so that students can compare and contrast models and features. For more information, please visit https://divergenceacademy.com/

Contras: This is an upcoming product. Their user base is growing rapidly. It is yet to reach a tipping point for mass enterprise adoption. This is not a Con. I'm sure it will happen.

Great software! One of the easiest ways to create your own custom neural learning algorithm.

Traducir con Google Revisado el 25/6/2018
Ryo F.
Data Scientist
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña 
Fuente: asdf
5/5
En general
3 / 5
Facilidad de uso
4 / 5
Características y funcionalidad
5 / 5
Asistencia técnica
5 / 5
Relación calidad-precio
Probabilidad de recomendación:
Muy baja Muy alta

Puntos a favor: You can drag and drop neural network layers and make your custom algorithm. This makes it very iterate many different algorithms, and speeds up the research process.

Contras: Uploading data is a hassle. Wish I could just specify the folder where the images are, instead of creating a csv file.

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