The Classification of 105 Celebrities with Face-Recognition using Tensorflow-Framework

Facial emotion classifier notebook

Natural Language Processing using Tensorflow, the model is trained on >5000 SMS text messages to identify spam messages with an validation accuracy of over 98%.

Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.

Submission Rework with Different Approach of Big Data Challenge on Satria Data 2020 held by Institut Pertanian Bogor

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

🤖 Enhance celebrity recognition with a deep learning system that uses CNNs to identify faces from a rich dataset of labeled images.