Performance Comparison of Convolutional Neural Networks for Handwritten Digit Recognition Using Activation Functions and Optimization Methods.
Abdul RazaqueSaule AmanzholovaAzhar SagymbekovaAizhan ZaurbekPublished in: DTESI (workshops, short papers) (2023)
Keyphrases
- optimization methods
- activation function
- handwritten digits
- convolutional neural networks
- optimization method
- neural network
- simulated annealing
- optimization problems
- artificial neural networks
- feed forward
- back propagation
- hidden layer
- network architecture
- basis functions
- character recognition
- neural nets
- linear combination
- learning algorithm
- multilayer perceptron
- learning rate
- probabilistic model