What is Deep Learning with TensorFlow Training?
Deep learning is at the forefront of technological innovation, powering advancements in artificial intelligence, robotics, and big data analytics. As one of the most widely used frameworks, TensorFlow enables the creation of sophisticated machine learning models to process vast datasets efficiently. This course introduces delegates to the principles of deep learning and equips them with practical experience in using TensorFlow to build and deploy neural networks.
Proficiency in deep learning is essential for professionals aiming to stay competitive in a data-driven world. Industries such as healthcare, finance, technology, and marketing are leveraging deep learning for predictive analysis, automation, and decision-making. Software Developers, Data Scientists, Business Analysts, and IT professionals will greatly benefit from mastering these cutting-edge skills.
This 1-day Deep Learning with TensorFlow Training offered by Oakwood International provides a comprehensive introduction to deep learning with TensorFlow. Delegates will gain practical insights into building neural networks, understanding data pipelines, and implementing advanced AI techniques. Through real-world examples and guided exercises, this training bridges the gap between theoretical knowledge and practical applications, enabling delegates to apply their skills confidently in professional environments.
Course Objectives:
- To understand the fundamentals of deep learning and neural networks
- To learn the basics of TensorFlow and its architecture
- To build and train deep learning models using TensorFlow
- To optimise neural networks for better performance
- To handle data preprocessing and pipelines effectively
- To apply TensorFlow in real-world applications
- To explore common deep learning algorithms
After completing this course, delegates will receive an internationally recognised certificate from Oakwood International, demonstrating their proficiency in deep learning and TensorFlow. This certification enhances their professional credentials and opens doors to exciting career opportunities.
Course Outline
Deep Learning with TensorFlow Training
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)
Included
Included
- No course includes are available.
Offered In This Course:
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Video Content
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eLearning Materials
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Study Resources
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Completion Certificate
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Tutor Support
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Interactive Quizzes
Learning Options
Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.
Online Instructor-Led Training
- Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.
Online Self-Paced Training
- Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.
Build your future with Oakwood International
We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.
Frequently Asked Questions
Q. What is Deep Learning, and why is it important?
Q. Who is this course suitable for?
Q. What is TensorFlow, and why is it used?
TensorFlow is an open-source machine learning framework used to build, train, and deploy deep learning models efficiently.
Q. Do I need prior experience with programming?
Yes, basic knowledge of Python programming is typically required to understand and implement TensorFlow models.