Topic: epochs Goto Github
Some thing interesting about epochs
Some thing interesting about epochs
epochs,Neural_Network_Charity_Analysis
User: abidor13
epochs,NN project to understand from scratch how internally Weights are applied, Epochs, Backpropagation, Error calculation, Gradient.
User: adityakuchulakanti
epochs,Gaze data -based epoch selection algorithm for eye tracker assisted visual evoked potential paradigm
User: ahtolee
epochs,This repository provides the Implementation of logic gates using neural networks.
User: ajaybiswas22
epochs,Image caption generator project is automatically describes images with coherent and relevant textual captions.
User: anjanchowdhury
epochs,EEG data collection and processing in matlab. Proposed data collection algorithm and Processing pipeline for evoked potentials of EEG signals or regular EEG signals. Furthermore
User: anne-andresen
epochs,Machine Learning and Neural Network techniques to recognize handwritten digits with high accuracy
User: anuraganalog
epochs,The predicts the emotion of the characters from image provided.
User: ashishkempwad
epochs,A Generative Adversarial Network (GAN) that generates handwritten digits(0 to 9). Uses mnist dataset. Written in R
User: aypak
epochs,Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.
User: chandnii7
epochs,Hand Gesture Recognition and Modification was based on transfer learning Inception v3 model using Keras with Tensorflow backend trained on 4 classes - rock, paper, scissors, and nothing hand signs. The final trained model resulted in an accuracy of 97.05%. The model was deployed using Streamlit on Heroku Paas.
Organization: data-science-community-srm
epochs,General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
User: douwehorsthuis
epochs,This project involves training a machine learning model and plotting its learning curves to analyze training and testing accuracies, utilizing Java for model execution and Python for data visualization. It includes commands for compiling and running the Java program, generating plots, and sending results via email.
User: elmahsieh
epochs,As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is cycled between a lower bound and upper bound. CLR policies are computationally simpler and can avoid the computational expense of fine tuning with fixed learning rate. It is clearly shown that changing the learning rate during the training phase provides by far better results than fixed values with similar or even smaller number of epochs.
User: fitushar
epochs,Baby Health model made in Python.
User: gabrieldim
epochs,Image classification algorithm
User: ihartb
epochs,A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.
User: ishan-kotian
Home Page: https://www.kaggle.com/lykin22/nerual-network-image-data
epochs,The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.
User: jmarihawkins
epochs, Efficient Astronomical Time transformations in Julia.
Organization: juliaspacemissiondesign
Home Page: https://juliaspacemissiondesign.github.io/Tempo.jl/
epochs,The main concentration of this project lies on image calssification using traditional CNN(Convolution Neural Networks), and also a couple of "BASE MODELS" such as "RestNet50", "DenseNet121" and "EfficientNetB0" that upgraded the performance of our CNN, followed by the Fully Connected NN, that we are using to train our model on.
User: kavilivishnu
Home Page: https://colab.research.google.com/drive/1465BC7vhzX-dfHkQ4TvaRndSkKxWGV-p?usp=sharing
epochs,image classification and manipulation in python machine learning on fashion mnist dataset
User: krishnadevz
Home Page: https://krishnadevz.github.io/image-classification-and-manipulation-in-python-machine-learning/
epochs,This repository includes my Chest X-Ray Deep Learning-Flatiron School Module 4 Project. For this project, I made use of OS to access the data. The Pandas, NumPy, Matplotlib, Seaborn, and Plotly libraries were used to explore the data. Keras was used to build the image classifier.
User: lopez-christian
Home Page: https://lopez-christian.github.io/2020-08-10-chest-x-ray-deep-learning-project/
epochs,A Multi Layer Perceptron created to calculate XOR (eXclusive OR) on 5 inputs
User: lucagatt22
epochs,Estimating evoked responses
User: manishthilagar
epochs,Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]
User: mivinmathew
epochs,PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
User: moindalvs
epochs,Module 21 Challenge
User: mychele-larson
epochs,Designing a deep learning neural network with TensorFlow to predict the success of donations
User: npantfoerder
epochs,Node modules and client utilities to build Persistence platform node applications.
Organization: persistenceone
Home Page: https://persistence.one/
epochs,Traffic sign recognition using CNN
User: rupakreddy11
epochs,Artificial Neural Network using PyTorch & Keras Libraries
User: saikrishnabudi
epochs,PyTorch Library on Artificial Neural Network Model
User: saikrishnabudi
epochs,Scorepochs: a computer aided scoring tool for resting-state M/EEG epochs
User: scorepochs-tools
Home Page: https://github.com/Scorepochs-tools
epochs,Scorepochs: a computer aided scoring tool for resting-state M/EEG epochs
User: scorepochs-tools
epochs,scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs
User: scorepochs-tools
epochs,TensorFlow 2.2, Keras, Deep Learning
User: trentbrunson
epochs,This project creates a machine learning model that predicts the success of investing in a business venture.
User: waking-dreamer
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