Topic: nadam Goto Github
Some thing interesting about nadam
Some thing interesting about nadam
nadam,Data Structures, Algorithms and Machine Learning Optimization
User: anilesh-prajapati
nadam,From linear regression towards neural networks...
User: aromanro
nadam,Create animated videos for various optimizers used for training deep learning models
User: arunprakash-a
nadam,Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
User: grafit24
nadam,A comparison between implementations of different gradient-based optimization algorithms (Gradient Descent, Adam, Adamax, Nadam, Amsgrad). The comparison was made on some of the most common functions used for testing optimization algorithms.
User: guyez
nadam,[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
User: harshraj11584
nadam,"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
User: jelhamm
Home Page: https://www.ruder.io/optimizing-gradient-descent/
nadam,Gradient_descent_Complete_In_Depth_for beginners
User: moindalvs
nadam,Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
User: overlordgolddragon
nadam,Hands-On Deep Learning Algorithms with Python, By Packt
Organization: packtpublishing
nadam,Analyze the performance of 7 optimizers by varying their learning rates
User: pranavphoenix
nadam,This repository contains a python implementation of Feed Forward Neural Network with Backpropagation, along with the example scripts for training the network to classify images from mnist and fashion_mnist datasets from keras.
User: ravikumarchopra
nadam,A deep learning classification program to detect the CT-scan results using python
User: rfadhila07
nadam,A news article's title and description should be classified into the following groups in order to solve this classification problem: 1-World, 2-Sports, 3-Business and 4-Science/Tech .Here is a sequence of data. This is a sequential problem, thus we may use bidirectional LSTM for classification since we have access to the data.
User: s0nya21
nadam,This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.
User: subhangisati
nadam,Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B07LH43V8P/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i3
nadam,Assignment submission for the course Fundamentals of Deep Learning (CS6910) in the Spring 2022 Semester, under Prof. Mitesh Khapra
User: vamsimalineni96
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