Keras Implementation of major CNN architectures
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Updated
Jul 3, 2018 - Jupyter Notebook
Keras Implementation of major CNN architectures
My solution for Quick, Draw! Doodle Recognition Challenge from Google using Keras DenseNet 121
采用深度学习方法进行刀具识别。
Densely-Connected-Convolutional-Networks
Chinese Calligraphy Detection
Replicated results from DenseDepth using DenseNet169 in Python.
CIFAR-10 classification solved with 90% validation accuracy using DenseNet in 50 epochs
A Neural Net which can detect the image of digit ranging from 0 to 9
This Repo will have DenseNet Implementation for CIFAR-10.
Workflow designed for training and optimization neural networks
Convolutional Networks Training and Logits Saving
Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API
rate customer reviews
Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos
DenseNet Architecture on CIFAR data
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