atomcamp

Computer Visioning Masterclass

Virtual Masterclass, 20th November, 

Sunday (9:00AM - 1:00PM) |

Fee: PKR 5,000 (early bird 20% off till 13th Nov)
For Students: PKR 3,500

What you'll learn

  • Prepare for an internationally-recognized certification
  • Develop the skills to work anywhere, anytime using cloud technology
  • Transfer existing skills to a new career
  • Become trained in the top CRM system and start a new career

About this Course

Course Description 

1. Introduction to Deep Learning – Begin by learning the fundamentals of deep learning. Then examine the foundational algorithms underpinning modern deep learning: gradient descent and backpropagation. Once those foundations are established, explore design constructs of neural networks and the impact of these design decisions. Finally, the course explores how neural network training can be optimized for accuracy and robustness.

2. Convolution Neural Network – This part introduces convolutional neural networks, the most widely used type of neural networks specialized in image processing. You will learn the main characteristics of CNNs that make them better than standard neural networks for image processing. Then you’ll examine the inner workings of CNNs and apply the architectures to custom datasets using transfer learning. Finally, you will learn how to use CNNs for object detection and Image classification.

3. Building Generative Adversarial Networks – Become familiar with generative adversarial networks (GANs) by learning how to build and train different GANs architectures to generate new images. Discover, build, and train architectures such as DCGAN, CycleGAN, ProGAN, and StyleGAN on diverse datasets including the MNIST dataset, Summer2Winter Yosemite dataset, or CelebA dataset.

Prerequisites of course:
Knows programming in python to some extent, and understands basic Computer Science Concepts.

Instructor

Humayun Arshad

Machine Learning and Computer Vision Leader, specialized in deep learning and active learning with domain expertise’s in Climate Tech, Facial Identity, Medical Imaging and self-driving vehicles.

Experienced in delivering computer vision products and APIs for use cases including image recognition and classification, object detection and segmentation in 2D and 3D images/videos – application ranging from climate, satellite, medical, facial identity, self-driving vehicles, retail and fashion.

Over a decade in Machine Learning and Computer Vision education and experience, applying and training others to apply deep learning algorithms (CNN, RCNN, LSTM, Transformers), image processing methods, feature extraction techniques, pattern recognition, feature selection/regularization, boosting methodologies, generalized regression models, data visualization, analytic approximation theory, enumerative and graphical combinatorics, advanced implementations of operator algebras, probability theory, and statistics.

Earn a Certificate

Share your digital certificate on social media & professional networks

Online Masterclass

Learn from the comfort of your own home while interacting with others

Easy to Understand Content

Localized & easy to understand course content in English & Urdu

Join the atom family!

Become part of our alumni & learning community

Course Outline

Week 1: Creative Writing

The first module is focused on developing reading and writing skills. Student will learn about different writing style techniques that will make their written expression interesting, unique and meaningful. Students will learn what creative writing is, and how it is different from academic or professional writing.

Weeks 2: Descriptive Writing

Using excerpts from various sources, the class will discuss how to use imagery and figurative language to create interesting pieces of writing. Students will also practice their writing using the techniques learnt.

Weeks 3: Descriptive Writing

Using excerpts from various sources, the class will discuss how to use imagery and figurative language to create interesting pieces of writing. Students will also practice their writing using the techniques learnt.

Week 4: Poetry

The class will discuss different examples of poems to understand sound devices and symbolism. Students will also write poems of their own using techniques learnt.

Week 5: Blog Writing

Students will be introduced to various types of blog writing styles, creative writing in digital content and storytelling. Students will also write blogs of their own.

Week 6: Script Writing

The final module will introduce how developing ideas can be presented in various formats, e.g. within film. Students will learn how creative writers develop scripts for film and media entertainment, and discuss the difference between visualizing a story and putting it into writing. Students will also have a go at creating their own storyboard.