There are 1 repository under relu topic.
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Evaluation of the CNN design choices performance on ImageNet-2012.
Represent trained machine learning models as Pyomo optimization formulations
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Implementation of key concepts of neuralnetwork via numpy
Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!
Covid-19 detection in chest x-ray images using Convolution Neural Network.
Some common CUDA kernel implementations (Not the fastest).
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
Numpy implementation of deep learning
Convolutional neural network for classification of animal images on Animal-10 dataset
Repo for my blogs explaining swish activation function
Deep Learning
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
Compare vanishing gradient problem case by case.
Simple multi layer perceptron application using feed forward back propagation algorithm
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks
Convolutional Neural Network with just Numpy and no other MLLibs
Avoiding the vanishing gradients problem by adding random noise and batch normalization
Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!
building a deep neural network with as many layers as you want!
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
A repository with Twitter data and tweet classifiers using several machine learning approaches to measure the accuracy and performance of the approaches on classifying tweets.🐧
TorchAct, collection of activation function for PyTorch. https://pypi.org/project/torchact/
A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.
This Repo contains the 4th Task for my FreeCodeCamp Course
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
ReLU's Function Approximation