Deep Learning with Python

Overview

Deep learning has been getting a considerable amount of attention in the digital world, which is why we have developed this course in deep learning with python to help you incorporate deep learning techniques in your projects using the python language. No matter how minimal of a knowledge you have in deep learning, if you have the interest for it, this course is all you need!

This course will start off by walking you through the concept of deep learning, along with its libraries, to familiarise you with it. Backpropagation, which is used to calculate derivatives, will be thoroughly delved in through this course, along with an insight into deep learning with Theano to optimize a simple model in pure Theano. You will also be enlightened on keras and how it can be used to make Theanos even easier to use.

After learning how to load and reuse pre-trained models using Theano through this course. You will taught on the differences between recurrent and convolutional layers to comprehend how to train a sentiment analysis model for text. The Google’s learning library, Tensorflow, will also be duly discussed through this course, along with guidelines on how to caption it to further enhance your knowledge on it. By the end of this course, you will have a well-grounded knowledge on deep learning to incorporate it in your present and future projects.

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.

Course Curriculum

• Section 1: Head First Into Deep Learning
• Section 2: Backpropagation And Theano For The Rescue
• Section 3: Keras – Making Theano Even Easier To Use
• Section 4: Solving Cats Versus Dogs
• Section 5: “For” Loops And Recurrent Neural Networks In Theano
• Section 6: Bonus Challenge And Tensorflow

Access duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Who is this course aimed at?

This course is aimed at individuals looking to master python to develop applications involving deep learning techniques

Method of assessment

The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.

Certification

Those who pass this test will get a certificate in Deep Learning with Python

Other Benefits

• High-quality e-learning study materials and mock exams.
• Tutorials/materials from the industry leading experts.
• 24/7 Access to the Learning Portal.
• The benefit of applying for TOTUM extra Discount Card.
• Recognised Accredited Qualification.
• Excellent customer service and administrative support