Topic: he-initializer Goto Github
Some thing interesting about he-initializer
Some thing interesting about he-initializer
he-initializer,a simple neural network
User: adamyuan
he-initializer,Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
User: byelipk
he-initializer,Fully connected neural network for digit classification using MNIST data
User: elefhead
he-initializer,The aim of this project is to implement an image classifier based on convolu- tional neural networks. Starting by implementing a simple shallow network and then refining it until a pre-trained ResNet18 is implemented, showing at each step how the accuracy of the model improves. The provided dataset (from [Lazebnik et al., 2006]) contains 15 categories.
User: giacomoleonemaria
he-initializer,MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
User: hwalsuklee
he-initializer,Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
User: mmaric27
he-initializer,All the code files related to the deep learning course from PadhAI
User: niranjankumar-c
he-initializer,Compare vanishing gradient problem case by case.
User: yeonghyeon
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