Title: GitHub - AS-0167/D3-CNN: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos, it includes a Streamlit frontend for real-time testing. Built to understand deep learning fundamentals through hands-on coding.
Open Graph Title: GitHub - AS-0167/D3-CNN: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos, it includes a Streamlit frontend for real-time testing. Built to understand deep learning fundamentals through hands-on coding.
X Title: GitHub - AS-0167/D3-CNN: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos, it includes a Streamlit frontend for real-time testing. Built to understand deep learning fundamentals through hands-on coding.
Description: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos, it includes a Streamlit frontend for real-time testing. Built to understand deep learning fundamentals through hands-on coding. - AS-0167/D3-CNN
Open Graph Description: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos,...
X Description: An academic project that implements a Convolutional Neural Network (CNN) entirely from scratch using NumPy — no PyTorch or TensorFlow. Designed to detect driver distractions from images and videos,...
Opengraph URL: https://github.com/AS-0167/D3-CNN
X: @github
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