Convolutional Neural Networks
Gain skills in computer vision, convolutional neural networks, and AI applications through the Deep Learning Specialization to advance your career in AI technology.
Description for Convolutional Neural Networks
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by DeepLearning.AI
Duration: 35 hours (approximately)
Schedule: Flexible
Pricing for Convolutional Neural Networks
Use Cases for Convolutional Neural Networks
FAQs for Convolutional Neural Networks
Reviews for Convolutional Neural Networks
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Convolutional Neural Networks
Featured Tools
While addressing privacy and security concerns, learners will acquire proficiency in the use of LLMs and tools for a variety of applications.
Examine the development and deployment of interactive Python data applications, with a particular emphasis on Recommender Systems and the use of Python web frameworks to deploy and monitor machine learning models.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Learn fundamental machine learning principles, including K nearest neighbor, linear regression, and model analysis, with prerequisites of Python programming and basic mathematics.
Through practical experiments utilizing TensorFlow and Google Cloud Platform, this�course offers a thorough grasp of machine learning, from strategy to deployment.