A deep understanding of deep learning (with Python intro) 2023-10

Description

A deep understanding of deep learning (with Python intro)is a deep learning course in PyTorch using a scientific and practical method with the help of many examples and practical problems. By taking this course, you will gain a flexible, grounded and durable experience in deep learning. You will learn basic concepts with the help of this course and you will be able to easily learn new topics and trends in the future.

Note that this course is not just a brief overview of deep learning, and instead, this course comprehensively examines why and how deep learning works and many important related concepts.

What you will learn in the course A deep understanding of deep learning (with Python intro):

The theory and mathematics behind deep learning
Construction of an artificial neural network
Architecture of feedforward and convolutional networks
Building models in PieTorch
Differential and gradient descent coding
Scaling deep network models
Learning Python from the ground up (no need for any coding experience)
How and why autoencoders work
Using transfer learning
Improving the performance of models using regularization
Optimizing the evaluation of weights
Understanding image convolution using pre-trained kernels
Using GPU for deep learning

Course details

Publisher: Udemy
Instructors: Mike X Cohen
English language
Education level: introductory
Number of courses: 265
Duration: 57 hours and 19 minutes

Course headings

A deep understanding of deep learning (with Python intro):

Interest in learning about deep learning!
Python/Pytorch skills are taught in the course
A Google account (google-colab is used as the Python IDE)

Pictures

Introduction video of the course A deep understanding of deep learning (with Python intro):

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: Version 7/2023 (720p) | Version 10/2023 (1080p)

Changes:

The 2021/12 version has increased the number of 9 lessons (1 section) and the duration of 2 hours and 52 minutes compared to 2021/8.

The 2022/11 version has increased the duration by 2 minutes compared to 2021/12.

Version 2023/2 compared to 2022/11 has not changed in the number of courses and duration of the course, but the quality of the course has increased from 720p to 1080p.

Version 2023/7 has not changed compared to 2023/2 in the number of courses and duration of the course, but the HTML files and subtitles have changed. Also, the quality of the course has been reduced from 1080p to 720p.

Version 2023/10 has not changed in the number of courses and duration of the course compared to 2023/7. But the quality of the course has increased from 720p to 1080p.