Build Structures in Portuguese

In a world where artificial intelligence is becoming increasingly important, learning the skills needed to build your own neural networks is more crucial than ever. Imagine having the ability to create your own neural network and train it to perform complex tasks. With our Project on Deep Learning - Artificial Neural Network course, you can do just that.

In this course, you'll learn how to build your own artificial neural network from scratch, using Python. From installing the necessary packages to data preprocessing and encoding, you'll discover how to prepare your data for neural network training. You'll also gain a deeper understanding of the steps involved in building your own artificial neural network and learn how to make predictions using your model.

So if you're ready to unlock the power of deep learning and take your skills to the next level, enrol in our Project on Deep Learning - Artificial Neural Network course today and start building your own neural networks.

Learning Outcomes:

• Gain a solid understanding of artificial neural networks and their applications in deep learning.
• Learn how to install the necessary packages and preprocess data for neural network training.
• Discover how to encode data and build your own artificial neural network using Python.
• Understand the steps involved in making predictions using your neural network model.
• Learn how to deal with imbalanced data in your neural network training.

The Project on Deep Learning - Artificial Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network and perform complex tasks using deep learning. You'll learn how to install the necessary packages, preprocess data, and encode data for neural network training. You'll also gain a deeper understanding of artificial neural networks and learn how to build your own model using Python. By the end of the course, you'll be able to make predictions using your neural network model and understand how to deal with imbalanced data in your training.

⊱⊱ Build Structures in Portuguese Course Curriculum ⊰⊰

• Introduction
  
• Section 01: Chapter 1
  
• Section 02: Chapter 2
  
• Section 03: Chapter 3
  
• Section 04: Chapter 4
  
• Section 05: Chapter 5
  
• Section 06: Chapter 6
  
• Section 07: Chapter 7
  
• Section 08: Chapter 8
  
• Section 09: Chapter 9
  
• Section 10: Chapter 10

How is the course assessed?

Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.
Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

• Data analysts who want to expand their skills in deep learning and artificial neural networks.
• Programmers who want to learn how to build their own neural network models for advanced tasks.
• Entrepreneurs who want to develop their own deep learning-based applications.
• Students who want to enhance their skills in deep learning and prepare for a career in the field.
• Anyone who wants to explore the world of artificial neural networks and deep learning projects.

• Data Analyst: £24,000 - £45,000
• Machine Learning Engineer: £28,000 - £65,000
• Deep Learning Engineer: £30,000 - £75,000
• Technical Lead: £40,000 - £90,000
• Chief Technology Officer: £90,000 - £250,000

Currently there are no Q&As for this course. Be the first to ask a question.

Certificate of completion

Digital certificate - £9

Certificate of completion

Hard copy certificate - £15