Learning Options

  • Online Video-Based Learning
  • Flexible Schedule
  • Expert Trainers with Industry Experience
  • High Pass Rates
  • 24/7 Personalised Support
  • Interactive Learning Materials
  • Live Online Classes
  • Expert Trainers with Industry Experience
  • Live Assessment and Feedback
  • Interactive Learning Materials
  • Networking Opportunities
  • High Pass Rates

Overview

The Deep Learning with TensorFlow Training course is designed for professionals seeking to master deep learning techniques using TensorFlow. This course builds on foundational AI knowledge, providing hands-on experience with TensorFlow’s robust tools and frameworks for creating advanced AI solutions.

TensorFlow is a leading deep learning library, widely used for applications such as image classification, natural language processing, and predictive analytics. This course covers critical topics like neural network design, optimisation, and model deployment, enabling learners to leverage TensorFlow effectively in their projects.

This intensive 1-day training offered by MPES includes expert-led sessions, practical exercises, and real-world case studies. Learners will gain the skills to design, implement, and optimise deep learning models using TensorFlow, preparing them to tackle complex AI challenges and drive innovation in their fields.
 

Course Objectives

  • Understand the fundamentals of deep learning and TensorFlow
  • Develop skills in building and training neural networks using TensorFlow
  • Learn to optimise and evaluate deep learning models for high performance
  • Apply TensorFlow to real-world applications such as image recognition and NLP
  • Gain expertise in deploying TensorFlow models in production environments

Upon completion, learners will be equipped with the knowledge and skills to use TensorFlow effectively for advanced AI solutions, enhancing their careers in deep learning and machine learning. 

calender

Average completion time

1 Month
wifi

with unlimited support

100% online
clock

Start anytime

Study At Your Own Pace

Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    • Educational Background: A foundational understanding of mathematics, programming, and AI concepts is recommended. 

    • Technical Proficiency: Familiarity with Python and machine learning tools is essential for this course. 

    • Interest in Deep Learning: Ideal for professionals and learners passionate about mastering TensorFlow for AI-driven solutions. 

Learning Outcomes

    • Master TensorFlow Basics: Gain a comprehensive understanding of TensorFlow’s architecture and functionality. 

    • Build Neural Networks: Learn to design, train, and optimise neural networks using TensorFlow. 

    • Enhance Model Performance: Develop skills to evaluate and fine-tune deep learning models for better accuracy and efficiency. 

    • Apply TensorFlow to Projects: Use TensorFlow for real-world tasks like image recognition, NLP, and predictive analytics. 

Target Audience


    The Deep Learning with TensorFlow Training course is designed for professionals and learners seeking to advance their expertise in deep learning. It provides practical knowledge to build and deploy TensorFlow-based AI solutions effectively. Below are the individuals who will benefit from this course: 

    • Machine Learning Engineers 

    • Data Scientists 

    • Artificial Intelligence (AI) Researchers 

    • Software Developers 

    • Natural Language Processing Engineers 

    • Automotive Engineers 

    • Robotics Engineers 

Course content


    Module 1: Introduction to TensorFlow 

    • Tensors 

    • TensorFlow 

    • Installation of TensorFlow 

    • Two Computation Phrases 

    • Variables 

    • Operations 

    • A Computational Graph with TensorBoard 

    • Linear Regression
       

    Module 2: Artificial Neural Network 

    • Introduction 

    • Characteristics of Artificial Neural Network
       

    Module 3: Activate Functions 

    • Introduction Activation (Transfer) Functions 

    • Types of Activate Functions  

    • Unit Step (Threshold) 

    • Sigmoid 

    • Piecewise Linear 

    • Gaussian 

    • Linear
       

    Module 4: Deep Learning Techniques 

    • Introduction 

    • Convolutional Neural Networks 

    • Recurrent Neural Networks
       

    Module 5: Deep Learning Applications 

    • Applications of Deep Learning 
       

    Module 6: Computing Gradients 

    • Introduction 

    • Steps for Computing Gradients
       

    Module 7: Single-Layer and Multi-Layer Perceptron 

    • Perceptron  

    • Single-Layer Perceptron 

    • Multi-Layer Perceptron (MLP) 

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

Need help with your ACCA course?

Our course advisors are here to help guide you and ensure that you choose the right course for you and your career journey.

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the focus of Deep Learning with TensorFlow Training?

This course focuses on equipping learners with the skills to build, train, and deploy deep learning models using TensorFlow, enabling advanced AI applications across various industries. 

Q. Do I need prior experience with TensorFlow to take this course?

No prior experience with TensorFlow is required, but familiarity with Python and basic AI concepts will help learners grasp the course content effectively. 

Q. What practical skills will I gain from this course?

You will learn to design, train, optimise, and deploy deep learning models using TensorFlow, applying these techniques to tasks like image recognition and natural language processing. 

Q. Who should take this course?

This course is ideal for data scientists, machine learning engineers, software developers, and anyone looking to advance their expertise in deep learning and TensorFlow applications. 

Q. How is the course delivered?

The course includes expert-led sessions, hands-on exercises, and real-world case studies, ensuring a comprehensive and practical learning experience in TensorFlow. 

Related Course

Explore additional courses designed to complement your learning journey and enhance your professional skills. Expand your knowledge with these expertly curated options tailored to your career goals.

Introduction to AI Course Go To Course blue-arrow
Machine Learning Course Go To Course blue-arrow
Artificial Intelligence (AI) for Project Managers Go To Course blue-arrow
Deep Learning Course Go To Course blue-arrow
Artificial Intelligence (AI) For Business Analysts Go To Course blue-arrow
View More

Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

Course Schedule

£2995

Deep Learning with TensorFlow Training

9th February 2024

9th February 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Deep Learning with TensorFlow Training

2nd August 2024

2nd August 2024

(1 days)

DELIVERY METHOD

Classroom

Course Schedule

£1995

Deep Learning with TensorFlow Training

Fri 23rd Feb 2024

Fri 23rd Feb 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Deep Learning with TensorFlow Training

Fri 7th Jun 2024

Fri 7th Jun 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Deep Learning with TensorFlow Training

Fri 13th Sep 2024

Fri 13th Sep 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Deep Learning with TensorFlow Training

Fri 22nd Nov 2024

Fri 22nd Nov 2024

Duration - 1 Days

DELIVERY METHOD

Virtual