Deeplearning Engineer
I am a self-taught deep learning Engineer and love to work on computer vision projects. I also share what I have learned by teaching Python and deep learning on YouTube & on a platform called Preply. I have taught for more than 190 hours and maintained a rating of 4.8. Here is the link for that.
Summary: This project involves constructing a neural network from scratch using Python libraries like NumPy and Pandas. The neural network is trained on the MNIST dataset, focusing on handwritten digits. It features an architecture with a single hidden layer and output layer, along with key components such as data preprocessing, neural network architecture, forward propagation, backward propagation, and loss function.
Technologies: Python, NumPy, Pandas, Matplotlib