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43 Educators providing Deep Learning courses delivered Online

Parametric House

parametric house

London

Mohammad Yazdi Computational Designer, CEO of Parametric House, Tutor Mohammad is a computational designer (MS in Building Construction Technology & BS in Civil Engineering). His main interests are Parametric Design and subjects such as parametric modeling of Islamic Patterns, Structural studies on parametric forms, and also Automation in construction. he has also tutored Grasshopper and Parametric Design for more than 300 architectural students since 2010. Erfan Rezaei Computational Designer, Grasshopper developer Erfan Rezaei Azari is an architecture enthusiast. Erfan is quite curious about new methods of design especially has been fascinated by parametricism. It has come with putting his effort into learning Grasshopper and coding languages such as Python, JavaScript, and C#, that is used in the different design environment. Erfan is also skilled in both weak and strong AI which includes optimizing algorithms, machine learning, and deep learning. Amirhossein Khazaei Computational Designer, Grasshopper Developer Amirhossein khazaei is an architecture student and computational designer who is thrilled by the concept of digital technology in architecture. Amirhossein’s interests are also centered on the topics of intelligent products and complex forms. Kiarash Kiany Computational Designer, Grasshopper Developer Kiarash Kiany is a computational designer and enthusiast and he’s eager to learn and develop new means of design with the use of technology, he has a bachelor’s degree in architecture and is currently studying for his master’s degree in bionic architecture. Zahra Ebrahimi Computational Designer, Grasshopper Developer Zahra Ebrahimi has a bachelor’s degree in architecture. She has completed her master’s degree in computational design and is interested in the Grasshopper plugin, developing algorithms, and fabrication. Sogol Nopoosh Computational Designer, Architect Sogol Noopoosh is an architect with a bachelor’s degree in Architecture, she is a computational design, technology, and kinetic architecture enthusiast. she is interested in finding new ways to develop forms and programs for architectural purposes. Ali Ghadamyari Computational Designer, Architect As an architect, Ali is enthusiastic about Technology and how it can solve real-world problems in the architecture field. His design process is based on the discovery of solutions that can relate Algorithmic Thinking to architecture. He is always eager to learn more about architectural design and how it can improve our lives. Danial Keramat Computational Designer, BIM modeler Danial is an architect (MSc. in Architectural Technology) with a passion for the rational side of architecture. He has professional experience in various fields such as Architectural Design, Computational Engineering for the AEC industry, and Digital fabrication of freeform structures. He is also skilled at Automating procedural tasks of BIM through programming. Neda Rafizadeh Computational Designer, Grasshopper Developer Neda is an architect (B.Arch.) who has professional experience in architectural design. Due to her interest in fabricating her ideas and her curiosity about finding new methods of design, she entered the world of computational design and digital fabrication. She is a passionate learner and always seeks to experience new things. Ali Shahrokhi Civil Engineer, Content Manager BS. in Civil Engineering and interested in new forms & Ideas. As a content manager, Ali collaborates with Parametric House and publishes new content on our Social Media platforms Daily. Salar Anahid Computational Designer, Grasshopper Developer Salar is an architecture student and also experienced in graphic design and coding. The main interest of him is to combine his abilities to create new methods of design. He experienced different types of design in his career including architecture, graphics, etc. But he is always curious about new pieces of knowledge such as new methods of parametric design, simulation, prediction. Fatemeh Naseri Computational Designer, Content Manager BS. in Architecture & MS. in Architectural Technology, Freelance Architect and Designer /Designing a rehabilitation center, a kindergarten & a residential complex /Structural optimization of a glasshouse with Grasshopper3d, Karamba, and Octopus /Form finding and design of timber gridshell structure, Design, and fabrication of parametric furniture/ As a content manager, Fatemeh collaborates with Parametric House and publishes new content on our Social Media platforms.

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Courses matching "Deep Learning"

Show all 144

Deep Learning - Crash Course 2023

By Packt

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

Deep Learning - Crash Course 2023
Delivered Online On Demand9 hours 11 minutes
£22.99

Performance Tuning Deep Learning in Python - A Masterclass

By Packt

This course is designed around three main activities for getting better results with deep learning models: better or faster learning, better generalization to new data, and better predictions when using final models. Take this course if you're passionate about deep learning with a solid foundation in this space and want to learn how to squeeze the best performance out of your deep learning models.

Performance Tuning Deep Learning in Python - A Masterclass
Delivered Online On Demand5 hours
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Deep Learning & Neural Networks Python - Keras

4.8(9)

By Skill Up

Let your AI journey transcend new heights with our Deep Learning & Neural Networks Python - Keras course, your best path to mastering deep learning.

Deep Learning & Neural Networks Python - Keras
Delivered Online On Demand11 hours 9 minutes
£25

PyTorch for Deep Learning and Computer Vision

By Packt

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

PyTorch for Deep Learning and Computer Vision
Delivered Online On Demand12 hours 32 minutes
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Deep Learning Neural Network with R

4.8(9)

By Skill Up

Unleash the power of deep learning neural networks with R! Learn to build and train models to solve real problems in agriculture, war deaths, and more.

Deep Learning Neural Network with R
Delivered Online On Demand2 hours 26 minutes
£25

Deep Learning with Real-World Projects

By Packt

You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.

Deep Learning with Real-World Projects
Delivered Online On Demand34 hours 31 minutes
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Project on Deep Learning - Artificial Neural Network

4.8(9)

By Skill Up

Would you like to master deep learning and artificial neural networks? Then this course is for you! Learn how to build, train, and deploy ANNs to solve problems.

Project on Deep Learning - Artificial Neural Network
Delivered Online On Demand2 hours 21 minutes
£25

The Complete Self-Driving Car Course - Applied Deep Learning

By Packt

Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python

The Complete Self-Driving Car Course - Applied Deep Learning
Delivered Online On Demand18 hours
£29.99

Deep Learning Projects - Convolutional Neural Network

4.8(9)

By Skill Up

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Deep Learning Projects - Convolutional Neural Network
Delivered Online On Demand1 hour 4 minutes
£25

Deep Learning - Deep Neural Network for Beginners Using Python

By Packt

In this course, you will quickly learn how to build DNNs (Deep Neural Networks) and how to train them. This learning-by-doing course will also help you master the elementary concepts and methodology with Python. You need to have a basic knowledge of python to get the best out of this course.

Deep Learning - Deep Neural Network for Beginners Using Python
Delivered Online On Demand6 hours 26 minutes
£41.99