Brief Introduction
Learn how to build deep learning applications with TensorFlow. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.Course Summary
Learn the basics of TensorFlow for deep learning through this introductory course by Udacity. Gain a strong foundation in machine learning, neural networks, and deep learning concepts.Key Learning Points
- Use TensorFlow to build and train a neural network
- Understand deep learning concepts like Convolutional Neural Networks and Recurrent Neural Networks
- Learn how to use TensorFlow for image and text classification
Job Positions & Salaries of people who have taken this course might have
- USA: $112,000
- India: ₹1,100,000
- Spain: €42,000
- USA: $112,000
- India: ₹1,100,000
- Spain: €42,000
- USA: $96,000
- India: ₹900,000
- Spain: €36,000
- USA: $112,000
- India: ₹1,100,000
- Spain: €42,000
- USA: $96,000
- India: ₹900,000
- Spain: €36,000
- USA: $130,000
- India: ₹1,500,000
- Spain: €50,000
Related Topics for further study
Learning Outcomes
- Develop a strong foundation in machine learning and deep learning concepts
- Build and train neural networks using TensorFlow
- Understand how to use TensorFlow for image and text classification
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python
- Familiarity with machine learning concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced online course
- Video lectures
- Hands-on coding exercises
Similar Courses
- Deep Learning with TensorFlow
- Machine Learning Engineer Nanodegree
Related Education Paths
Notable People in This Field
- Andrew Ng
- Yann LeCun
Related Books
Description
Developed by Google and Udacity, this course teaches a practical approach to deep learning for software developers.Requirements
- To get the most out of your experience, we recommend the following: Beginning Python syntax, including: variables, functions, classes, and object-oriented programming Basic algebra See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 Introduction to Machine Learning Get a high-level overview of artificial intelligence and machine learning Learn how machine learning and deep learning have revolutionized software lesson 2 Your First Model: Fashion MNIST Build a neural network that can recognize images of articles of clothing lesson 3 Introduction to Convolutional Neural Networks ("CNNs") Use a convolutional network to build more efficient models for Fashion MNIST lesson 4 Going Further with CNNs Expand your image classifiers into models that can predict from multiple classes Use a convolutional network to build a classifier for more detailed color images lesson 5 Transfer Learning Use a pre-trained network to build powerful state-of-the-art classifiers lesson 6 Saving and Loading Models Look at the new SAVEDMODEL format in TensorFlow 2.0 and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices
Summary of User Reviews
Discover the fundamentals of TensorFlow for deep learning in this introductory course. Students rave about the practical exercises and real-world applications. Learn from industry experts and gain hands-on experience with the top deep learning framework.Key Aspect Users Liked About This Course
practical exercises and real-world applicationsPros from User Reviews
- Hands-on experience with TensorFlow
- In-depth explanations from industry experts
- Real-world applications and practical exercises
- Comprehensive introduction to deep learning
- High-quality video content
Cons from User Reviews
- Some students found the course difficult to follow
- The course may be too basic for those with prior experience in deep learning
- Limited interaction with instructors and other students
- No certification offered upon completion
- Some technical issues with the online platform
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