MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Updated
May 11, 2023 - MATLAB
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition
A repository for hosting some of the popular machine learning algorithm implementations.
Plots how the logit values that are passed into the softmax function change over time as the model is trained.
Neural Network from Scratch with Python
These Codes are written as part of Neural Networks and Deep learning course at UCLA.
A deep learning model that recognizes hand gestures for alphabets. Trained using tensorflow, with activation function : RELU and Softmax (for multi-class classification).
Implementing deep learning algorithms from scratch
Push features to OSM taked from satellite images.
This is the code for "predict MNIST datasets using pure Tensorflow and Keras, a shallow learning model" By M.Junaid Fiaz
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
About some methods in Deep Learning using TensorFlow
Some deep learning projects using TensorFlow
handwritten digit recognition in real time
A CNN approach to automatically assess bouldering routes difficulty levels
It reads handwritten numbers given an input of pixel values. A supervised learning, gradient descent, mini-batching, softmax-output-activation neural network that is meant to be trained on the MNIST dataset (dataset not included in this repository).
【武汉大学遥感学院】空间智能感知与服务课设 | 基于Softmax的多波段遥感影像分类
Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.
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