This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scen…

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

Study Case API with SOLID and no OOP

This deep learning project focuses on building a robust air quality classifier from photos using two different deep learning architectures.

The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.

RNN and CNN based Relation Extraction models in tensorflow 2.0

Neural Network to estimate wine's quality and its type

Keras functional api on DonorsChoose dataset.

Artificial Neural Networks with R using keras, neuralnet and functional API.

Prediction of acute inflammations of urinary bladder and acute nephritises using UCI Acute Inflammations Data Set.

TensorFlow: Advanced Techniques Specialization by Laurence Moroney, and Eddy Shyu in Coursera by DeapLearning.AI

Digital Image Processing Course | Home Works Design| Fall 2021 | Dr. MohammadReza Mohammadi

This repository contains application of functional api and sequential api for the hello world dataset in computer vision

Tensorflow 2: for Deep Learning Specialization | Imperial College London

Streamlit Demo of CIFAR10 Data Classifiers

This is my take on the Wine Quality Dataset. (Multi Label problem)

Building Advanced Neural Networks with Tensorflow: A Deepdive

This repository is a testament to my growth and understanding of deep learning. It highlights foundational skills in TensorFlow, demonstrates hands-on applications like car price prediction, and culminates in an advanced medical imaging project for malaria diagnosis.

Git repository for the following video: https://www.youtube.com/watch?v=qj4NHdX2wfI&feature=youtu.be

Convolutional Neural Network project for sign language detection.