deeplearning tour
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Updated
Sep 16, 2018 - Jupyter Notebook
deeplearning tour
my lecture notes of cs231n of Andrej Karpathy
🐝 Hive of The CyberHornets 🐝
Implementation of Machine Learning algorithms using Python3.
Comparison of common loss functions in PyTorch using MNIST dataset
A simple linear classifier using CIFAR-10 dataset
Con clasificación lineal podemos categorizar datos a partir de observaciones previas. Sus implementaciones va desde la detección de fraudes a segmentizar clientes. Acá te explico desde un punto matemático y teórico como se aplica. Además, hacemos una pequeña implementación.
TensorFlow2 digits classification - Linear Classifier and MLP
Machine Learning and Fault Detection
Linear classifier using logistic regression with only 2 features for MNIST Database.
MNIST digit classification with a Neural Network.
Implementation of KDTree from scratch and implement kdtree classifier and linear classifier on two different datasets.
ANN model which predicts wine quality
A simple Flask application for data preprocessing, visualization and classification
Multi-class classifier with only 2 features for MNIST Database.
A Chinese guide book for learning Tensorflow from a starter.
Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.
A framework to compute threshold sensitivity of deep networks to visual stimuli.
Ejemplo de clasificador lineal usando el perceptrón tradicional
An implementation of an Ensemble classifier of Linear classifiers using multiple processes
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