Public facing repo for TensorFlow Advanced Techniques specialization

Tensorflow Advanced Technique Specialization

TensorFlow: Advanced Techniques Course material on cousera this repository is for learning purpose.

Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution

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.

Assignments, Labs and Quizzes from DeepLearning.AI TensorFlow: Advanced Techniques specialization

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.

In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

Tensorflow Advanced Technique Specialization - Solution

TensorFlow: Advanced Techniques Specialization

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Custom Models, Layers, and Loss Functions with TensorFlow by courser

Repository containing advanced tensorflow techniques and models learnt as part of the Advanced TensorFlow Techniques specialization by DeepLearning.AI & my own models

Coursera TensorFlow: Advanced Techniques Specialization

https://www.coursera.org/programs/bangkit-2024-machine-learning-ftkc9/specializations/tensorflow-advanced-techniques?collectionId=lcluj

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TensorFlow Advanced Techniques Specialization by deeplearning.ai and coursera

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

TensorFlow: Advanced Techniques Specialization

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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

TensorFlow: Advanced Techniques Specialization

Tensorflow Advanced Techniques Specialization from Coursera DeepLearning.AI

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

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