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This project uses deep learning to solve a classification problem. The dataset was preprocessed and a neural network model was optimized to achieve the target performance. Various techniques were tried to improve the model, demonstrating the power of deep learning models for classification problems.
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
This project implements a Multi-Layer Perceptron (MLP) neural network in C++ for digit recognition. The MLP consists of four layers, each utilizing different activation functions and dimensions suited for processing images of handwritten digits
The GraphSpanner Neural Network Project creates a model for generating minimal spanning trees in graphs with up to 20 nodes. It includes training scripts and data preprocessing for versatile, small-scale spanning tree generation.
EmoInsight: The Emotion Intelligence Expert System It reflects the focus on emotional assessment through quizzes while also hinting at the system's ability to provide insights into both anger and love languages.
Explore the fascinating realm of machine learning in this repository. From foundational algorithms to advanced models, dive into the world of intelligent systems and data-driven decision-making. 🤖✨
Welcome to the Deep Learning repository. This project encompasses fundamental deep learning concepts, implementations using Perceptron and TensorFlow, and practical Jupyter Notebooks to illustrate these concepts.
Unlock the world of Computer Vision Projects! Dive into hands-on learning with diverse projects, code, and datasets. Elevate your AI skills and explore the realm of visual data interpretation.