Modern Deep Convolutional Neural Networks with PyTorch

Udemy Coupon - Modern Deep Convolutional Neural Networks with PyTorch

Image Recognition with Convolutional Neural Networks. Advanced techniques for Deep Learning and Representation learning

• 4.1 (53 ratings)
• Created by Denis Volkhonskiy
•  English [Auto-generated]

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Description

Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you.

The course consists of 4 blocks:

Introduction section, where I remind you, what is Linear layers, SGD, and how to train Deep Networks.

Convolution section, where we discuss convolutions, it's parameters, advantages and disadvantages.

Regularization and normalization section, where I share with you useful tips and tricks in Deep Learning.

Fine tuning, transfer learning, modern datasets and architectures

If you don't understand something, feel free to ask equations. I will answer you directly or will make a video explanation.

Prerequisites:

Matrix calculus, Linear Algebra, Probability theory and Statistics

Basics of Machine Learning: Regularization, Linear Regression and Classification,

Basics of Deep Learning: Linear layers, SGD,  Multi-layer perceptron

Python, Basics of PyTorch

Who this course is for:

Who knows a bit about neural networks

Who wants to enrich their Deep Learning and Image Processing knowledge

Who wants to study advanced techniques and practices

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