Topic: leaky-relu Goto Github
Some thing interesting about leaky-relu
Some thing interesting about leaky-relu
leaky-relu,This package is a Tensorflow2/Keras implementation for Graph Attention Network embeddings and also provides a Trainable layer for Multihead Graph Attention.
User: abhilash1910
Home Page: https://pypi.org/project/GraphAttentionNetworks/0.1/
leaky-relu,Avoiding the vanishing gradients problem by adding random noise and batch normalization
User: afagarap
leaky-relu,INTRODUCTION OF DEEP LEARNING
User: avinash-kurrey
leaky-relu,Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
User: bharatguturi
leaky-relu,Building Generative Adversarial Networks
User: himasai97
leaky-relu,The code implements a neural network model, PricePredictor, trained on historical stock price data to predict future stock prices, visualizing the predictions alongside historical prices and calculating the average of the predicted prices.
User: iheuzio
Home Page: https://www.kaggle.com/code/christopherbartos/tickerpricepredictionyoy
leaky-relu,Deep Learning concepts practice using Cifar-10 dataset
User: kuntala-c
leaky-relu,Rede Neural Convolucional para reconhecimento de gestos em LIBRAS (Alfabeto) Projeto 01/2019 - Ciência da Computação (Universidade Anhembi Morumbi)
User: lucaaslb
leaky-relu,Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
User: mmaric27
leaky-relu,Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
User: mrdavidyu
leaky-relu,:octocat: This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.
User: neural-tangjie
leaky-relu,Trained a generative Adverserial Network (GAN) which when given the satellite image of a place as input, outputs the Map image of that same location. It was trained using standard adverserial training.
User: omkarnitsureiitb
leaky-relu,Creating your own custom layers(Leaky ReLU) with Keras
User: prabormukherjee
leaky-relu,
User: rpgupta30
leaky-relu,Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
User: sameetasadullah
leaky-relu,Advance Machine Learning (CSL 712) Course Lab Assignments
User: srinadhu
leaky-relu,Image Classification, Python, Feedforward-Neural-Network, Tensorflow, Keras, CNN, ReLu
User: tuhinaprasad28
leaky-relu,Deep Learning Projects
User: volkansonmez
leaky-relu,Jupyter notebooks to create random file transfer data on an ElasticSearch Cluster in order to train a neural network to predict the file transfer duration.
User: vyomshm
leaky-relu,The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
User: yaricom
leaky-relu,CNeuron is a simple singular neural network neuron implementation in C, designed for easy integration into C projects.
User: zjeydt
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