An increase in interest in Deep Neural Networks can be attributed to the recent successes of Deep Learning in various AI applications. Deep Neural Networks form the implementation platform for all ...

The SoftMax activation function is a normalized exponential function that is usually used as an activation function of the last layer of a fully connected neural network. The number of neurons in this ...

The model uses a fully connected architecture with ReLU and Softmax activation functions and is trained with Stochastic Gradient Descent (SGD). 🚀 Features Custom Dense Layer: Implemented from scratch ...

Developed a real-time sign language detection model leveraging MediaPipe for precise hand landmark detection, and trained a Convolutional Neural Network (CNN) with a softmax activation function to ...