TensorFlow-in-Practice-Specialization and tensorflow-in-practice-specialization

TensorFlow-in-Practice-Specialization
35
Emerging
tensorflow-in-practice-specialization
33
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 20/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 19/25
Stars: 41
Forks: 32
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 19
Forks: 18
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About TensorFlow-in-Practice-Specialization

sahilkhose/TensorFlow-in-Practice-Specialization

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

This project provides solutions for assignments in the DeepLearning.AI TensorFlow Developer Specialization on Coursera. It helps individuals learn to build and deploy artificial intelligence, machine learning, and deep learning models using TensorFlow. The user would be an aspiring AI/ML developer or data scientist looking to gain practical skills in deep learning frameworks.

deep-learning machine-learning-education ai-development neural-networks tensorflow-practice

About tensorflow-in-practice-specialization

golamSaroar/tensorflow-in-practice-specialization

This repository contains notebooks from the Coursera specialization TensorFlow in Practice.

This collection of practical code examples helps you learn how to build AI algorithms using TensorFlow, a popular open-source machine learning framework. You'll input various datasets like house prices, images, or text, and learn to develop models that can predict values, classify images, or even generate new text. This is for software developers, data scientists, and AI engineers who want to implement scalable machine learning solutions.

AI-development machine-learning-engineering computer-vision natural-language-processing predictive-modeling

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TensorFlow-in-Practice-Specialization and TensorFlow-in-Practice

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