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,
User: davityak03
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.