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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The intermediate-level Customizing Your Models with TensorFlow 2 online course by Coursera builds a strong knowledge base for TensorFlow. You will learn to develop customized deep-learning models and workflows for any application. Additionally, the certification course will teach you how to build complex model architecture using lower-level APIs in TensorFlow.

Towards the course end, you will be working on a Capstone Project to apply the concepts you acquired over the course duration. You will custom-build a neutral translation model from scratch. The Customising Your Models with TensorFlow 2 programme, is the second course of the three-part Specialization – TensorFlow 2 for Deep Learning Specialisation. Moreover, the world-renowned institute, Imperial College of London, offers the online course, while Dr Kevin Webster instructs it.

You will learn via pre-recorded lectures and development experience, along with the coding assignments, which offer practical and field-relevant practice. A graduate teaching assistant will guide you through the projects. Most importantly, the Customising Your Models with TensorFlow 2 online course is entirely self-paced with flexible deadlines to suit your comfort.

The Highlights

Shareable electronic certificate
100% online learning
Deep Learning
Flexibles deadlines
Intermediate-level course
Video transcripts
Approx. 27 hours to complete
Lectures in English
Offered by Imperial College London

Programme Offerings

Specialisation Course
Flexible Deadlines
100% online course
Intermediate-level Course
Shareable Certificate
practice quizzes
Capstone Project

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Imperial College, LondonCoursera

The Customising Your Models with TensorFlow 2 fee details:

Head	Amount
1 Month	Rs. 1,676
3 Months	Rs. 3,369
6 Months	Rs. 5,029

Eligibility Criteria

Before you apply for the Customising your models with TensorFlow 2 course by Coursera, you need first to complete the Getting started with TensorFlow course. Additionally, candidates need to be proficient in Python programming (Python 3.0) and should have a basic understanding of the Machine Learning fundamentals.

Candidates should also have a working knowledge of Deep Learning concepts, including Transfer Learning, Data Augmentation, Model Architecture, among others.

What you will learn

Knowledge of deep learning

After completing the Coursera Customising Your Models with TensorFlow 2 online training, you will get an idea about the following:

Know how to apple the functional API to create better flexible model architectures with many outputs and inputs
How to apply tools from Keras and TensorFlow to implement data pipelines
Process data sequence and understand sequence modelling tasks
Apply automatic differentiation tools to implement custom training loops
Exploiting model and layer sub-classing API to develop entirely flexible model architectures

Who it is for

Software EngineerData Engineer

Admission Details

Enrol for the Customising your models with TensorFlow 2 programme by Coursera by simply following the steps mentioned below:

Visit the course page.
Type in ‘Customising your models with TensorFlow 2’ in the search bar to locate the course.
Choose the “Join for Free” option on the top right corner.
You can create your account on Coursera or log in through Google, Facebook, or Apple. If already have a Coursera account, log in and enrol for the course.

Application Details

Applying for the Customising of your models with TensorFlow 2 online course is quite simple. You do not have to fill out any form. Just sign up and enrol for the certification course, and you will get the course material.