Ecosyste.ms: Awesome
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Projects in Awesome Lists by MohammedSaqibMS
A curated list of projects in awesome lists by MohammedSaqibMS .
https://github.com/mohammedsaqibms/car-detection-for-autonomous-driving
This repository implements a car detection system using the YOLO algorithm for real-time object detection in images.
car-detection computer-vision deep-learning image-processing object-detection real-time yolo
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/convolution_model_step_by_step
A step-by-step implementation of core CNN components, including zero-padding, convolution, and pooling layers, inspired by the Deep Learning Specialization.
convolution convolutional-neural-networks deep-learning deep-learning-specialization pooling-layers zero-padding
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/image_segmentation_unet
This repository implements U-Net for image segmentation on a self-driving car dataset, covering data preprocessing, training, and evaluation.
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/deep-neural-network-for-image-classificaton-application
This repository implements a deep neural network to classify images as cats or non-cats. Using Python and libraries like NumPy and Matplotlib, it showcases practical applications of deep learning concepts from the DeepLearning.AI Deep Learning Specialization.
cat-recognition deep-learning image-classification machine-learning matplotlib neural-networks numpy python3
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/initialization
This repository explores the impact of various weight initialization methods on a neural network's performance, comparing zero, random, and He initialization. It includes visualizations of cost function and decision boundaries.
ai deep-learning he-initialization machine-learning neural-networks weight-initialization
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/introduction-to-tensorflow
This repository implements a basic neural network in TensorFlow, covering forward propagation, cost computation, and model training. It is inspired by the Deep Learning Specialization from DeepLearning.AI and provides a hands-on approach to deep learning. 🌟
ai deep-learning forward-propagation neural-networks tensorflow2
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/building-your-deep-neural-network
This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.
binaryclassification cost-functions deep-learning forward-propagation neural-networks numpy python3
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/gradient-checking
Gradient Checking: Demonstrates 1D and ND gradient checking techniques to verify the accuracy of gradients in neural networks. Inspired by DeepLearning.AI's Deep Learning Specialization.
backward-propagation deep-learning forward-propagation gradient-checking machine-learning neural-networks numerical-gradients
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/regularization
This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.
deep-learning dropout-regularization gradient-descent l2-regularization model-training neural-network-architecture overfitting-prevention performance-optimization regularization-techniques
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/logistic-regression-as-a-neural-network
Logistic Regression with Neural Network Principles: This repository implements logistic regression for classifying cat vs. non-cat images, incorporating neural network concepts like sigmoid activation and gradient descent using Python and key libraries.
binary-classification deep-learning gradient-descent image-processing logistic-regression neural-networks python3
Last synced: 24 Jan 2025
https://github.com/mohammedsaqibms/resnet
A concise implementation of Residual Networks (ResNet50) for image classification, featuring identity and convolutional blocks, built using TensorFlow and Keras. Inspired by the 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗔𝗜 specialization. 🚀
ai deep-learning image-classification keras machine-learning neural-networks resnet tensorflow2
Last synced: 17 Jan 2025