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Getting started with TensorFlow 2
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Getting started with TensorFlow 2

This course is part of TensorFlow 2 for Deep Learning.

Course Cost

Free course

Intermediate

Skill Level

23 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full TensorFlow 2 for Deep Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.9

36,717 Enrolled

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English

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olive-leaves-logo

4.9

36,717 Enrolled

olive-leaves-logo

English

What you'll learn

  • Build and train deep learning models using Sequential API

  • Implement model validation and regularization techniques

  • Use callbacks for monitoring and model optimization

  • Master model saving, loading, and deployment workflows

  • Develop image classification models from scratch

Skills you'll gain

TensorFlow 2
Deep Learning
Neural Networks
Keras API
Model Training
CNN
Sequential API
Model Validation
Regularization
Model Deployment

This course includes:

4.2 Hours PreRecorded video

3 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course teaches the complete workflow for developing deep learning models with TensorFlow 2. Students learn to build, train, evaluate and predict with models using the Sequential API, implement validation and regularization techniques, work with callbacks, and manage model saving and loading. The curriculum includes hands-on coding tutorials and practical assignments, culminating in a capstone project developing an image classifier. The course covers both fundamental concepts and advanced features of TensorFlow 2, making it suitable for beginners and experienced practitioners.

Introduction to TensorFlow

Module 1 · 2 Hours to complete

The Sequential model API

Module 2 · 6 Hours to complete

Validation, regularisation and callbacks

Module 3 · 6 Hours to complete

Saving and loading models

Module 4 · 6 Hours to complete

Capstone Project

Module 5 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: TensorFlow 2 for Deep Learning

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Getting started with TensorFlow 2

Intermediate

Skill Level

23 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.