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Intro to TensorFlow for Deep Learning
Learn practical approaches to deep learning in software development with this course on Intro to TensorFlow for Deep ...Read more
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Intermediate
Online
Free
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Intro to TensorFlow for Deep Learning training is offered for a period of approximately two-month course duration with an intermediate level of difficulty. The content offered has a rich amount of information and is instructed by three prominent instructors from TensorFlow medium.
The course can be pursued at self-paced progress and the candidate will learn the practicality involved with theories of deep learning for developers. The course will teach hands-on methods with models in real-world applications. The candidates will be exposed to large datasets which use advanced algorithms and techniques. The course is taught free of charge and aims to strengthen programmers and developers to build AI applications.
The highlights
- Two-month course duration
- Free of charge course
- Rich learning material
- Course taught by 3 instructors
- Self-paced mode of learning
- Intermediate difficult learning level.
- Course offered in TensorFlow medium
Program offerings
- Projects
- Videos
- Exercises
Course and certificate fees
Type of course
Free
certificate availability
No
Who it is for
The Intro to TensorFlow for Deep Learning online course will help professionals such as
- Software Developers and programmers who want to develop apps in Artificial Intelligence (AI).
Eligibility criteria
Education
The Intro to TensorFlow for Deep Learning program course does not specify any specific requirements and is intended for programmers who have good knowledge in algebra, Python, and object-oriented programming language.
Certification Qualification Details
Candidates are required to complete the entire program successfully to get a certificate of completion.
What you will learn
The Intro to TensorFlow for Deep Learning online course helps the candidates in the following ways.
- Participants will get to learn about the different concepts of Machine learning with an overview of Artificial intelligence and the revolution caused by it.
- The candidate will build a neural network in a fashion industry-based project.
- The candidates will learn to use convolutional neural networks for the purpose of making efficient models in Fashion MNIST.
- The students will learn transfer learning to build state-of-the-art classifiers.
- The students will learn to save and load models using a format from TensorFlow Lite and Flowserving.
- The student will implement forecasting of time series using sequential data and recurrent neural networks.
- The student will work on Tensorflow Lite for smartphone applications in different forms of OS.
The syllabus
Lesson 1: Welcome to the Course
Lesson 2: Introduction to machine learning
Lesson 3: Your First Model - Fashion MNIST
Lesson 4: Introduction to CNNs
Lesson 5: Going Further With CNNs
Lesson 6: Transfer Learning
Lesson 7: Saving and Loading Models
Lesson 8: Time series forecasting
Lesson 9: NLP: Tokenization and Embeddings
Lesson 10: NLP: Recurrent Neural Networks
Lesson 11: Introduction to TensorFlow Lite
Admission details
Filling the form
To register and get admission in the Intro to TensorFlow for Deep Learning certification course, students must follow the steps outlined below.
Step 1: The following link will take you to the online program: https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
Step 2: Candidates should be able to register on the Udacity website and build an account.
Step 3: The applicant must log in to the module for enrollment after entering the necessary information.
Step 4: To understand, the applicant must be able to navigate to learn through the sequence of lectures available.
Scholarship Details
Since it is a free course, no specific information is provided; however, Udacity is committed to providing financial support to individuals in order to ensure lifelong learning and ability development, and applicants can contact Udacity officials for more information.
How it helps
The Intro to TensorFlow for Deep Learning certification benefits the participants in learning many aspects of programming in the areas of machine learning, deep learning, and artificial intelligence. The credential is taught by three stalwarts in this upcoming field and it thereby acts as a great identifier for the candidate being skilled in the core areas of machine learning.
The Udacity platform helps the candidate to share the credential in their resume or CV across many job portals and professional networks. Since machine learning and artificial intelligence is an upcoming and growing field with significant impact in the future, the candidate owing to the hands-on skills and projects in the Intro to TensorFlow for Deep Learning certification will be well sought by recruiters in professional networking sites such as Linkedin.
The Intro to TensorFlow for Deep Learning online course also assists students in improving their career chances by including openings for advancement and/or higher salaries within the same business or in a different organisation. In terms of profile, the nominee would be able to gain an advantage over his peers in terms of being considered for current or future new positions.
Instructors
Mr Magnus Hyttsten
Developer
Google
Mr Juan Delgado
Content Developer
Udacity
Other Masters, Ph.D
Ms Paige Bailey
Developer Advocate
Google
FAQs
What are the course prerequisites required to be satisfied for the student to successfully enrol into the course?
Before the start of the programme, the candidates will need to have the most updated versions of web browsers with apps and accounts of Google and Youtube in a well-functioning operating system.
What is the time required for the programme of the full programme?
The Intro to TensorFlow for Deep Learning online course will be taught entirely online for a period of two months.
What is the online link or website for the student to visit and register for the course?
Students involved in applying can go to https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187.
What is the mode of instruction for this Udacity programme?
The program's learning style is self-paced, and students will finish it whenever they choose.
Where does a student get a copy of the program's syllabus?
The Intro to TensorFlow for Deep Learning certification syllabus can be found on Udacity's website at https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187.
Does the programme include any video transcripts with instructions?
In the structure of the programme, the students will have access to video tutorials with instructions for learning.
How accessible are the Youtube based resources for the candidates for learning?
Yes, Intro to TensorFlow for Deep Learning program will help the students to learn with free access to the website any time of the day.
What kind of portfolio is required for the students to get accepted into this programme?
Developers who have basic level expertise in seasoned programming can be benefited from this course.
How many instructors in total teach the certification course?
Intro to TensorFlow for Deep Learning training has a group of three imminent instructors teaching the program for the candidates in a very comprehensive manner.
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