he-initializer
There are 9 repositories under he-initializer topic.
Niranjankumar-c/DeepLearning-PadhAI
All the code files related to the deep learning course from PadhAI
hwalsuklee/tensorflow-mnist-MLP-batch_normalization-weight_initializers
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
AdamYuan/SimpleNN
a simple neural network
YeongHyeon/Compare_Activation_Function
Compare vanishing gradient problem case by case.
ElefHead/digit_recognition
Fully connected neural network for digit classification using MNIST data
mmaric27/BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
GiacomoLeoneMaria/How-to-Increment-the-Accuracy-of-CNN-step-by-step
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.
byelipk/deeper-mnist
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.