jingtasi Goto Github PK
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jingtasi's Projects
1_keras_fashion_mnist
Convolutional Neural Network in Keras for image classification We will use keras fashion MNIST dataset. This consist of 60000, 28X28 pixel images and 10000 test images, these images are classified in one of the 10 categories we are using TensorFlow as our backend and applying activation functions like Relu, Softmax on model. Each image is 28 x 28 pixel in dimension
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
deep_learning
deeplizard-pytorch-
自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)
fashion_mnist
Predict cloathes type from images. Uses 5 layer in total ie 4 theta matrices. relu and softmax as activation fn
penopt.jl
constrained optimization by a penalty function approach in Julia
pytorch
PyTorch study of DataWhale/DataWhale团队的Pytorch组队学习
softmax-regression
get familiar with pytorch
vae_gumble_softmax
pytorch implementation of VAE-Gumble-Softmax
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