Course Title:

Neural Networks and Deep Learning

Course ID:

07 280725 0101 574ESH

Course Dates :

28/07/25

 To

01/08/25

Course Duration :

5 Studying Day/s

Course Location:

London

UK

Course Fees GBP:

£4,852.07

  • Vat Not Included in the price.
  • VAT may vary depending on the country where the course or workshop is held.

Course Category:

Professional and CPD Training Programs

Artificial intelligence

Course Certified By:

* ESHub CPD

* Professional Training and CPD Programs
* Executive Diploma Certificate
* Executive Masters Certificate

Certification Will Be Issued From :

United Kingdom

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

Introduction

This 5-day course on Neural Networks and Deep Learning is designed for professionals looking to deepen their understanding of artificial intelligence and its transformative power. The course provides a comprehensive introduction to neural networks, their architectures, and their application in solving complex real-world problems. Participants will explore the principles of deep learning, master the techniques for training neural networks, and understand advanced concepts such as convolutional and recurrent neural networks.

By the end of this course, participants will have gained the expertise needed to apply neural networks and deep learning algorithms in various domains, including image recognition, natural language processing, and predictive analytics.

This course is categorized under Professional Workshops / CPD Training Programs and offers practical knowledge and skills necessary for excelling in the fast-paced field of AI and deep learning.

Objectives

By the end of this course, participants will:

Understand the fundamentals of neural networks and deep learning.
Learn how to build, train, and optimize neural networks.
Explore advanced architectures, including convolutional and recurrent neural networks.
Gain practical experience in applying neural networks to real-world datasets.
Develop the ability to troubleshoot and fine-tune deep learning models for enhanced performance.

Who Should Attend?

This course is ideal for:

Data scientists and machine learning practitioners seeking advanced knowledge in deep learning.
Software engineers and developers interested in implementing AI solutions.
Analysts and professionals working with large datasets.
Researchers and academics exploring neural network applications.
Managers and decision-makers aiming to understand the strategic potential of AI and deep learning.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Outlines

Week 1
Day 1: Introduction to Neural Networks and Deep Learning

Overview of Neural Networks and their Importance in AI.
Understanding the Biological Inspiration behind Neural Networks.
Fundamentals of Perceptrons and Multilayer Perceptrons (MLPs).
Key Concepts: Activation Functions, Weights, and Bias.

Day 2: Training Neural Networks

Forward Propagation and Backpropagation Algorithms.
Loss Functions and Optimization Techniques (e.g., Gradient Descent).
Avoiding Overfitting: Regularization Techniques and Dropout.
Evaluating Model Performance with Metrics.

Day 3: Deep Learning and Advanced Architectures

Introduction to Deep Neural Networks (DNNs).
Convolutional Neural Networks (CNNs) for Image Processing.
Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks.
Autoencoders and their Applications in Dimensionality Reduction.

Day 4: Tools and Frameworks for Neural Networks

Overview of Popular Deep Learning Libraries: TensorFlow, Keras, and PyTorch.
Building and Training Neural Networks with TensorFlow and Keras.
Practical Implementation: Case Study on Image Recognition.
Debugging and Optimizing Deep Learning Models.

Day 5: Applications and Future Trends

Neural Networks in Natural Language Processing (NLP).
Leveraging Neural Networks for Predictive Analytics.
Ethical Considerations and Challenges in Deep Learning.
Future Trends in Neural Networks and AI.

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

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