Booking options
£12
£12
On-Demand course
1 hour
All levels
Have you ever wondered how machines are able to recognise handwritten digits with such precision? Have you ever been amazed by the power of neural networks and their ability to process complex information? If so, our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is perfect for you.
In this course, you'll learn how to build your own neural network to recognise handwritten digits using the power of deep learning. Using Google Collab, you'll import data, preprocess it, and create your own neural network model. You'll learn how to train your model, make predictions, and even create your own convolutional neural network model for even more advanced recognition.
So if you're ready to delve into the world of deep learning and build your own handwritten digit recognition system, enroll in our Deep Learning Projects course today and unlock the power of neural networks.
Learning Outcomes:
Gain a solid understanding of the principles of deep learning and neural networks.
Learn how to use Google Collab to import and preprocess data for deep learning projects.
Discover how to create your own neural network model to recognise handwritten digits.
Understand how to train your model, make predictions, and evaluate its performance.
Learn how to create your own convolutional neural network model for even more advanced recognition tasks.
The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network for handwritten digit recognition. Using Google Collab, you'll learn how to import and preprocess data for deep learning projects, create your own neural network model, and train it to recognize handwritten digits with high accuracy. You'll also discover how to evaluate the performance of your model and create a convolutional neural network model for even more advanced recognition tasks.
â±â± Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum
Lesson 01: Introduction to Project
Lesson 02: Google Collab
Lesson 03: Importing Packages and Data
Lesson 04: Preprocessing and Model Creation
Lesson 05: Training the Model and Prediction
Lesson 06: Model Creation using CNN
Lesson 07: CNN Model Prediction
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).
10 CPD hours / points Accredited by CPD Quality Standards
Data analysts who want to expand their skills in deep learning and neural networks.
Programmers who want to learn how to build their own neural network models for advanced recognition 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 deep learning and neural networks.
Data Analyst: £24,000 - £45,000
Machine Learning Engineer: £28,000 - £65,000
Software Engineer: £28,000 - £60,000
Technical Lead: £40,000 - £90,000
Chief Technology Officer: £90,000 - £250,000
Certificate of completion
Digital certificate - £9
You can apply for a CPD Accredited PDF Certificate at the cost of £9.
Certificate of completion
Hard copy certificate - £15
Hard copy can be sent to you via post at the expense of £15.
With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn apply to your career aspirations in manag...