TensorFlow: Advanced Techniques Specialization
Master TensorFlow and broaden your skill set. Four hands-on courses will enable you to personalize your machine learning models.
Description for TensorFlow: Advanced Techniques Specialization
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by DeepLearning.AI
Duration: 2 months at 10 hours a week
Schedule: Flexible
Pricing for TensorFlow: Advanced Techniques Specialization
Use Cases for TensorFlow: Advanced Techniques Specialization
FAQs for TensorFlow: Advanced Techniques Specialization
Reviews for TensorFlow: Advanced Techniques Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for TensorFlow: Advanced Techniques Specialization
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
Gain skills in computer vision, convolutional neural networks, and AI applications through the Deep Learning Specialization to advance your career in AI technology.
Utilize TensorFlow.js for browser-based model execution, TensorFlow Lite for mobile deployment, TensorFlow Data Services for optimized data management, and TensorFlow Hub, Serving, and TensorBoard for advanced deployment scenarios.
Using the complete machine learning pipeline in computer vision, this course teaches students how to use MATLAB for object detection and classification in images.
Featured Tools
Gain a foundational understanding of generative AI, including its functions, key concepts like large language models, datasets, and prompts, and the components used to build and operate AI solutions.
Learn the fundamentals of artificial intelligence (AI) and machine learning. Formulate a deployment strategy that capitalizes on the most advanced technologies to integrate AI, ML, and Big Data into your organization.
Real-World Applications of Machine Learning. Develop proficiency in the implementation of a machine learning undertaking.
Brief Overview: By enabling business professionals to use data science expertise in real-world scenarios, this specialization gets them ready for the CDSP certification.
Gain foundational knowledge of Linear Algebra and Machine Learning models, explore the scalability of SparkML and Scikit-Learn, and gain practical experience by adjusting models and analyzing vibration sensor data in a real-world IoT example.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsMultimodal AI ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs