explanation
Deep understanding of deep learning (including introduction to Python), a deep learning course in PyTorch that uses scientific and practical methods with many examples and real-world problems. By taking this course, you will gain flexible, disciplined, and ongoing experience in deep learning. This course will help you learn the basic concepts and easily learn new topics and trends in the future.
This course is not just a summary of deep learning, but a comprehensive review of why and how deep learning works and the many important concepts involved.
In Deep Learning (Including Introduction to Python), you’ll learn:
- The theory and mathematics behind deep learning
- Building an artificial neural network
- Feedforward and convolutional network architecture
- Torch-based model construction
- Differential and gradient descent coding
- Extending deep network models
- Learn Python from scratch (with no coding experience).
- How and why autoencoders work
- Use transfer learning
- Use regularization to improve model performance
- weight optimization
- Understand image convolution using pretrained kernels
- Using GPUs for Deep Learning
Course specifications
publisher: Udemy
Instructor: Mike
Language:English
Level: Introductory
Number of courses: 265
Duration: 57 hours 19 minutes
course topic
Prerequisites for a deep understanding of deep learning (including an introduction to Python):
If you want to learn about deep learning!
This course teaches Python/Pytorch technologies.
Google Account (google-colab is used as the Python IDE)
movie
Deep understanding of deep learning processes (including introduction to Python):
installation manual
After extracting, watch with your favorite players.
Subtitles: English
Quality: Version 2023/7 (720p) | Version 2023/10 (1080p)
Changes:
Compared to the 2021/8 version, the 2021/12 version has 9 lessons (1 section) and the class time has been increased to 2 hours and 52 minutes.
The 2022/11 version has increased the duration by 2 minutes compared to the 2021/12 version.
Compared to the 2022/11 version, the 2023/2 version has no changes in the number of courses and course duration, but the quality of the courses has been improved from 720p to 1080p.
The number of courses and course period have not changed in the 2023/7 version compared to 2023/2, but the HTML file and subtitles have changed. Additionally, the quality of the course has been reduced from 1080p to 720p.
The 2023/10 version has no changes to the number of courses and course duration compared to 2023/7. However, the lecture quality has improved from 720p to 1080p.
download link
Version 2023/10 (quality 1080p)
Version 2023/7 (quality 720p)
File password: free download software
size
Version 2023/7: 16.5 GB
Version 2023/10: 21.5 GB