leaky-relu

There are 2 repositories under leaky-relu topic.

lucaaslb / cnn-libras
Rede Neural Convolucional para reconhecimento de gestos em LIBRAS (Alfabeto) Projeto 01/2019 - Ciência da Computação (Universidade Anhembi Morumbi)
convolutional-neural-networks cnn-keras cnn-classification libras keras-tensorflow deep-learning cnn convolutional-layers leaky-relu tensorflow inteligencia-artificial artificial-intelligence
Language:Python 88
yaricom / TimeSeriesLearning
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.
deep-learning deep-neural-networks recurrent-neural-networks rnn adam-optimizer time-series random-forest-regressor rmsprop adagrad adamax leaky-relu pca-analysis
Language:Python 26
MrDavidYu / TF_Convolutional_Autoencoder
Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
autoencoder tensorflow tensorflow-gpu convolutional convolutional-autoencoder rgb-image leaky-relu face-recognition celeba-dataset celeba
Language:Python 11
AFAgarap / vanishing-gradients
Avoiding the vanishing gradients problem by adding random noise and batch normalization
activation-functions artificial-intelligence artificial-neural-networks batch-normalization deep-learning gradients leaky-relu relu sigmoid-function
Language:Python 5
abhilash1910 / GraphAttentionNetworks
This package is a Tensorflow2/Keras implementation for Graph Attention Network embeddings and also provides a Trainable layer for Multihead Graph Attention.
graph-attention-networks keras-tensorflow leaky-relu multihead-attention self-attention tf2
Language:Python 3
volkansonmez / Neural_Networks_From_Scratch
Deep Learning Projects
neural-network cifar10-classification stochastic-gradient-descent leaky-relu softmax-algorithm
Language:Jupyter Notebook 3
himasai97 / GANs
Building Generative Adversarial Networks
gan generative-adversarial-network mnist google-colaboratory colab-notebook python pytorch adam-optimizer tensors batch-normalization relu-activation leaky-relu sigmoid-function
Language:Jupyter Notebook 1
Iheuzio / TickerPricePrediction
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.
analytics deep-neural-networks finance jupyter-notebook leaky-relu linear-models loss-functions price-prediction-model stocks
Language:Jupyter Notebook 1
BasicDNN
mmaric27 / BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
deep-neural-network python numpy l-layer-neural-network sigmoid relu leaky-relu tanh softmax gradient-descent mini-batch-gradient-descent adam-optimizer momentum-optimization-algorithm l2-regularization drop-out-layer weights-initialization xavier-initializer he-initializer fully-connected-network neural-network
Language:Python 1
prabormukherjee / Layers_creation
Creating your own custom layers(Leaky ReLU) with Keras
custom-layer keras tensorflow leaky-relu ml dl
Language:Jupyter Notebook 1
RPGupta30 / Activation-Functions
leaky-relu sigmoid-activation softmax softsign tanh
Language:Python 1
SameetAsadullah / Neural-Network-Implementation
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)
activation-functions adagrad adam-optimizer cross-entropy-loss gradient-descent hinge-loss jupyter-notebook leaky-relu loss-functions mean-squared-error neural-network optimizers pycharm pycharm-ide python python3 relu-activation rmsprop sigmoid-activation softmax-activation
Language:Jupyter Notebook 1
AVINASH-KURREY / DEEP-LEARNING
INTRODUCTION OF DEEP LEARNING
activation-functions hiddenlayer layers leaky-relu neural-network relu-activation sigmoid-activation-function softmax-activation tanh-activation
Language:Jupyter Notebook 0
BharatGuturi / Alphabet-Soup-Charity-Deep-Learning
Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
colab-notebook crossentropyloss deep-learning keras-neural-networks keras-tuner leaky-relu pandas sigmoid sklearn standardscaler tensorflow
Language:Jupyter Notebook 0
Davityak03 / Customer-Churn-Model-using-ANN
ann elu keras leaky-relu matplotlib-pyplot numpy pandas python seaborn prelu
Language:Jupyter Notebook 0
tuhinaprasad28 / Image-Classification-Using-Keras-and-Tensorflow--Feedforward-Neural-Networks
Image Classification, Python, Feedforward-Neural-Network, Tensorflow, Keras, CNN, ReLu
keras python feedforward-neural-network leaky-relu neural-network relu relu-activation tensorflow adam-optimizer cnn image-classification
Language:Jupyter Notebook 0
ZJEydt / CNeuron
CNeuron is a simple singular neural network neuron implementation in C, designed for easy integration into C projects.
ai c leaky-relu ml neuron sgd-momentum artificial-intelligence machine-learning mit-license
Language:C 0
kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
deep-learning deep-neural-networks tensorflow keras cifar-10 leaky-relu elu-activation selu relu activation-function cifar10-classification
Language:Jupyter Notebook
nafisa-samia / Implementing-Deep-Neural-Network-for-the-CIFAR-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
tensorflow keras relu elu-activation leaky-relu selu activation-functions deep-learning deep-neural-networks cifar-10 cifar10-classification
Language:Jupyter Notebook
Nandan91 / relu-revival-normfree
PyTorch implementation of normalization-free LLMs investigating entropic behavior to find desirable activation functions
gpt-2 llm-architecture llm-evaluation llm-inference normalization-free-training privacy-preserving-machine-learning pythia private-inference gelu leaky-relu model-optimization pytorch-implementation relu transformers-models attention-we entropy-collapse
Language:Python
neural-tangjie / NTJ-DL-Activation_Functions_in_Neural_Network
:octocat: This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.
activation-functions deep-learning leaky-relu neural-network relu-activation sigmoid-function softmax tanh-activation binary-step-function linear-activation-function non-linear-activation-function
srinadhu / AML_Assignments
Advance Machine Learning (CSL 712) Course Lab Assignments
adagrad adam-optimizer backpropagation leaky-relu logistic-regression lstm many-to-one music-generation numpy pytorch relu rnn sgd-momentum sigmoid tanh two-layer-neural-network
Language:Jupyter Notebook
vyomshm / Keras-predicting-random-file-transfer-durations
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.
python-3-5 elasticsearch keras-neural-networks tqdm json neural-networks feedforward-neural-network regression-models leaky-relu
Language:Jupyter Notebook

leaky-relu

lucaaslb / cnn-libras

yaricom / TimeSeriesLearning

MrDavidYu / TF_Convolutional_Autoencoder

AFAgarap / vanishing-gradients

abhilash1910 / GraphAttentionNetworks

volkansonmez / Neural_Networks_From_Scratch

himasai97 / GANs

Iheuzio / TickerPricePrediction

mmaric27 / BasicDNN

prabormukherjee / Layers_creation

RPGupta30 / Activation-Functions

SameetAsadullah / Neural-Network-Implementation

AVINASH-KURREY / DEEP-LEARNING

BharatGuturi / Alphabet-Soup-Charity-Deep-Learning

Davityak03 / Customer-Churn-Model-using-ANN

tuhinaprasad28 / Image-Classification-Using-Keras-and-Tensorflow--Feedforward-Neural-Networks

ZJEydt / CNeuron

kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset

nafisa-samia / Implementing-Deep-Neural-Network-for-the-CIFAR-10-dataset

Nandan91 / relu-revival-normfree

neural-tangjie / NTJ-DL-Activation_Functions_in_Neural_Network

srinadhu / AML_Assignments

vyomshm / Keras-predicting-random-file-transfer-durations