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4 resultados.

Card Object Detection
Card Object Detection
This analytic uses Tensorflow Google Object Detection to detect playing card objects in an image. This uses deep learning to detect and draw boxes around objects detected in a image.
Alias: @Card Object Detection
Categorias: Image
Tags: image classification, tensorflow, object detection
Criado: Jul 24 2018, by: admin
Polegares para cima: 0, polegar para baixo.: 0, estrelas: 0.0
Liga: 1, hoje: 1, semana: 1, mês: 1
Última Conexão: Jul 24 2018, 10:55
Checkers (Tensorflow)
Checkers (Tensorflow)
This analytic is a train deep learning network that can play checkers. It uses the TensorFlow Python library and a dense neural network. The network has 128 inputs node representing the checkers board squares, 256 intermediate nodes, and 32 output nodes representing the best piece to move. This network was training by having the network play itself and playing other strategies.
Alias: @checkers(tensorflow)
Categorias: Data
Tags: tensorflow, deep learning, checkers, data, games
Criado: Aug 24 2020, by: admin
Polegares para cima: 0, polegar para baixo.: 0, estrelas: 0.0
Liga: 1, hoje: 1, semana: 1, mês: 1
Última Conexão: Aug 24 2020, 21:32
Flowers
Flowers
This analytic uses a retrained Tensorflow Inception v3 deep learning neural network to classify images of flowers.
Alias: @Flowers
Categorias: Image
Tags: tensorflow, classifier, image classification, deep learning, flowers, inception
Criado: Apr 12 2018, by: admin
Polegares para cima: 1, polegar para baixo.: 0, estrelas: 5.0
Liga: 1, hoje: 1, semana: 1, mês: 1
Última Conexão: Apr 12 2018, 13:02
Inception v3
Inception v3
This analytic uses the Tensorflow Inception v3 deep learning neural network to classify images. It can classify over 1,000 different categories of images.
Alias: @Inception v3
Categorias: Image
Tags: image classification, tensorflow, classifier, deep learning, inception
Criado: Mar 27 2018, by: admin
Polegares para cima: 3, polegar para baixo.: 0, estrelas: 4.67
Liga: 1, hoje: 1, semana: 1, mês: 1
Última Conexão: Mar 27 2018, 13:16