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Customising your models with TensorFlow 2
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Customising your models with TensorFlow 2

This course is part of TensorFlow 2 for Deep Learning.

Course Cost

Free course

Intermediate

Skill Level

25 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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4.8

13,970 Enrolled

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English

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olive-leaves-logo

4.8

13,970 Enrolled

olive-leaves-logo

English

What you'll learn

  • Create complex model architectures using Keras functional API

  • Implement custom training loops and layers

  • Develop efficient data pipelines with tf.data

  • Build sequence models for natural language processing

  • Design flexible model architectures for specific applications

Skills you'll gain

TensorFlow
Deep Learning
Keras
Model Customization
Neural Networks
Sequence Modeling
Data Pipeline
Transfer Learning
Custom Layers
Model Subclassing

This course includes:

5.6 Hours PreRecorded video

3 assignments, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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

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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 explores advanced TensorFlow 2 features for developing customized deep learning models. Students learn to use the Keras functional API, implement flexible data pipelines, and create sequence models. The curriculum covers custom layers, model subclassing, and automatic differentiation, culminating in a capstone project developing a neural translation model.

The Keras functional API

Module 1 · 6 Hours to complete

Data Pipeline

Module 2 · 6 Hours to complete

Sequence Modelling

Module 3 · 5 Hours to complete

Model subclassing and custom training loops

Module 4 · 5 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.

Customising your models with TensorFlow 2

Intermediate

Skill Level

25 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.