Deep Learning & Neural Networks Python - Keras

Deep Learning & Neural Networks Python - Keras

Welcome to our online event on Deep Learning & Neural Networks with Python using Keras! Dive into the world of artificial intelligence and machine learning with this exciting workshop. Whether you're a beginner or an experienced coder, you'll learn how to build and train your own neural networks using the powerful Keras library. Join us for a hands-on session packed with practical tips and tricks to help you master the art of deep learning. Don't miss out on this opportunity to enhance your Python skills and explore the fascinating realm of neural networks!

Imagine transforming your career with cutting-edge knowledge in Deep Learning and Neural Networks using Python and Keras. This comprehensive course delves into the intricate world of artificial intelligence, providing a robust foundation in both theory and practical application. You’ll explore essential concepts like multi-layer perceptrons, convolutional neural networks, and diverse datasets including Pima Indian Diabetes, Iris Flower, and MNIST Handwritten Digit Recognition.

Through a structured curriculum, the course guides you from the basics of Python to advanced neural network models. You will learn to install and use libraries like Theano and TensorFlow, develop and evaluate models, and implement performance improvements. Techniques such as dropout regularisation and learning rate schedules will enhance your skills, ensuring you can handle real-world AI challenges effectively.

By the end of the course, you’ll be equipped to load, predict, and improve models across various datasets. With practical examples and step-by-step instructions, you will gain the expertise to save and load models, apply image augmentation, and use checkpointing for neural network improvements. This course is an invaluable resource for anyone looking to excel in the AI and machine learning industry.

Learning Outcomes

1. Master the fundamentals and advanced concepts of deep learning and neural networks using Python and Keras.
2. Develop proficiency in using Theano and TensorFlow libraries for model development and evaluation.
3. Gain expertise in handling and improving model performance using dropout regularisation and learning rate schedules.
4. Acquire skills to implement and evaluate models on various datasets including Pima Indian Diabetes, Iris Flower, and MNIST.
5. Learn to save, load, and predict using trained models with practical hands-on examples and step-by-step guidance.

Why buy this Deep Learning & Neural Networks Python – Keras?

1. Unlimited access to the course for a lifetime.
2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
3. Structured lesson planning in line with industry standards.
4. Immerse yourself in innovative and captivating course materials and activities.
5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
6. Flexibility to complete the Course at your own pace, on your own schedule.
7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
8. Unlock career resources for CV improvement, interview readiness, and job success.

Certification

After studying the course materials of the Deep Learning & Neural Networks Python – Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.

Who is this course for?

• Aspiring data scientists seeking to specialise in deep learning.
• AI enthusiasts wanting to enhance their knowledge in neural networks.
• Software developers aiming to integrate AI capabilities into their projects.
• Students pursuing a career in artificial intelligence and machine learning.
• Professionals transitioning into the AI and data science field.

Prerequisites

This Deep Learning & Neural Networks Python – Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python – Keras was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

• Data Scientist: £50,000 – £80,000 per year
• Machine Learning Engineer: £45,000 – £75,000 per year
• AI Research Scientist: £55,000 – £85,000 per year
• Software Developer: £35,000 – £60,000 per year
• Data Analyst: £30,000 – £50,000 per year
• Deep Learning Specialist: £60,000 – £90,000 per year
  
  Disclaimer:
  This is an online course consisting of pre-recorded sessions. Access to the course will be granted within 24 hours of enrolment.