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 scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.

Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.

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.

Assignments and labs from Coursera Tensorflow Advanced Techniques Specialization.

Coursera TensorFlow: Advanced Techniques Specialization

#Coursera #Tensorflow #DistributedLearning #ComputerVision #GenerativeModels #CustomOps

TensorFlow Advanced Techniques Specialization by deeplearning.ai and coursera

TensorFlow: Advanced Techniques Specialization

Assingments of the TensorFlow: Advanced Techniques Specialization from Coursera

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(Unsupervised Learning) including Auto Encoding, VAEs, and GANs to create new content.

Contains all course modules, exercises and notes of TensorFlow: Advanced Techniques Specialization by Andrew Ng, and DeepLearning.ai in Coursera

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Custom Models, Layers, and Loss Functions with TensorFlow, is the part of Tensorflow Advanced Specialization

TensorFlow: Advanced Techniques Specialization

Tensorflow Advanced Techniques Specialization from Coursera DeepLearning.AI

Notebooks and notes of TensorFlow Advanced Techniques (Coursera Specialization)

My notebooks for the TensorFlow: Advanced Techniques Specialization on Coursera.

Github Repository for the TensorFlow: Advanced Techniques Specialization on Coursera

This is part of my training on Coursera, for this specialization : TensorFlow: Advanced Techniques Specialization

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

Coursera TensorFlow Advanced Techniques Specialization Class and Project homework materials

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This repo contains my graded and ungraded lab files for Tensorflow advanced techniques specialization offered by Coursera.

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TensorFlow: Advanced Techniques Specialization offered by DeepLearning.AI on Coursera

This Repository is for the course materials and my assignments codes for this specialization consists of 4 courses.

This 4-course specialization dives deeper into powerful techniques beyond basic neural networks. It focuses on improving performance, managing complexity, and solving more advanced tasks in real-world scenarios. Each course is practical and hands-on, using TensorFlow 2.x.

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