Playing around with gradient descent and its limits.
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Updated
Jan 4, 2018 - Python
Playing around with gradient descent and its limits.
Backpropagation - MLP
Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.
An implementation of multilayer perceptron(MLP) on function approximation.
Introducing neural networks to predict stock prices
Detecção de fake news utilizando a rede neural artificial multilayer perceptron (MLP)
Various methods for image classification of handwritten numbers
Artificial neural network classes and tools in Python and TensorFlow.
Infinite-width neural networks from a practical point of view
Python implementation of a simple MLP without using external packages
As part of a bigger work, this work focuses on implementing MLPs and Batch Normalization with Numpy and Python only.
Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database
PyDTNN - Python Distributed Training of Neural Networks
A simple MLP experiment with the PyTorch framework
A GA (Genetic Algorithm) optimized MLP (MultiLayer Perceptron) Network
Implement a handwritten digit recognition function using MNIST dataset with the simplest neural network.使用MNIST数据集,用最简单的神经网络实现一个手写数字识别功能。
School project. Prediction of engine failure with neural networks and non-linear models.
An implementation of multi-layer perceptron for classifying thyroid disease dataset
Autonomous RC car using Raspberry Pi. Uses picamera data, OpenCV for processing, along with ultrasonic sensor data to drive autonomously.
Red neuronal artificial para compuerta lógica XOR usando librería keras
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