Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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Updated
Sep 26, 2022 - Jupyter Notebook
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)
This repository presents my project on Car Detection Algorithm for Self-Driving Cars using the YOLO object detection algorithm.
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.
This repository contains the experiments that are described in the paper "A Theoretical Analysis of Pooling Operation Using Information Theory"
To recreate memories of B/w images.Advanced deep learning model for automatic image colorization from grayscale (B/W) Images.
Learn how to create a pooling operation from scratch using Pytorch (python) or building your own C++ extension.
Quranic Lexical/Semantic Search
Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project
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