Simple Neural Network that uses multiclass classification to predict the price category of your phone given information about the hardware of the phone
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Updated
May 11, 2024 - Jupyter Notebook
Simple Neural Network that uses multiclass classification to predict the price category of your phone given information about the hardware of the phone
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.
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 for ElasticFace: Elastic Margin Loss for Deep Face Recognition
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
Neural Network from Scratch with Python
Push features to OSM taked from satellite images.
Plots how the logit values that are passed into the softmax function change over time as the model is trained.
A deep learning model that recognizes hand gestures for alphabets. Trained using tensorflow, with activation function : RELU and Softmax (for multi-class classification).
A CNN approach to automatically assess bouldering routes difficulty levels
These Codes are written as part of Neural Networks and Deep learning course at UCLA.
handwritten digit recognition in real time
About some methods in Deep Learning using TensorFlow
Some deep learning projects using TensorFlow
This is the code for "predict MNIST datasets using pure Tensorflow and Keras, a shallow learning model" By M.Junaid Fiaz
A repository for hosting some of the popular machine learning algorithm implementations.
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