Description
The 'Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning' course is designed for software developers who aim to build scalable AI-powered algorithms. Offered by DeepLearning.AI, this course is part of the TensorFlow Developer Specialization. It focuses on teaching best practices for using TensorFlow, a widely-used open-source framework for machine learning. Participants will learn to build and train neural networks, with a specific focus on computer vision applications. The course is structured into four modules, each providing a mix of video lectures, readings, assignments, and hands-on labs.
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In the first week, learners receive an introduction to machine learning and deep learning, exploring how these technologies offer new programming paradigms. The course requires basic programming skills, and learners will gradually acquire more advanced knowledge as they progress. Week two delves into computer vision, teaching participants to solve problems with minimal code. The third week focuses on improving neural networks using convolutions and pooling layers, enhancing the performance of models on complex datasets.
The final week introduces the tf.data API and guides learners through developing and training convolutional neural networks (ConvNets) for handling complex images. Upon completion, participants earn a shareable career certificate from DeepLearning.AI, which can be added to their LinkedIn profiles. The course is suitable for those seeking to enhance their software development expertise and gain job-relevant skills through hands-on projects. While the course offers a free trial, a certificate can be obtained by purchasing the Certificate experience.
- CategoryEducation & Research
- Pricing ModelFree Trial
Introduction to TensorFlow for AI, ML, and DL's Core Features
Learn best practices for using TensorFlow
Build and train neural networks
Focus on computer vision applications
Part of TensorFlow Developer Specialization
Includes video lectures and readings
Hands-on labs and assignments
Earn a shareable career certificate
Offered by DeepLearning.AI
Instructor: Laurence Moroney
Access to course materials with enrollment
Option for Free Trial
Four modules in total
Develop job-relevant skills
Add certificate to LinkedIn profile
Explore new programming paradigms
How to use Introduction to TensorFlow for AI, ML, and DL?
Enroll: Sign up for the course
Learn: Watch video lectures and complete readings
Practice: Complete assignments and hands-on labs
Certify: Earn a certificate upon completion
Introduction to TensorFlow for AI, ML, and DL's Use Cases
- AI Algorithm Development
- Neural Network Training
- Computer Vision
- Machine Learning
- Deep Learning
