Coursera – Deep Learning Specialization 2025-4

Coursera – Deep Learning Specialization 2025-4 Downloadly IRSpace

Coursera – Deep Learning Specialization 2025-4
Coursera – Deep Learning Specialization 2025-4

Neural Networks and Deep Learning, name of the training video series in the field of data and machine learning can be. These days, one of the educational topics, popular topics, learn deep or the same Deep Learning can be. This period, in fact, part of this knowledge. You in this course with learning the basics, and the basics of neural networks and deep learning with the concept of artificial intelligence, will be familiar. At the end of this course you can get systems with artificial intelligence high will implement and bring it to the stage run drive.

Also in this period tried so well, the concept and the performance of deep learning to pass on to you crafted. This course also can help you in finding an ideal job would also help. You with learning content and training available in this course for your career opportunities to well-prepared you will be. Finally, and with view all sessions and tutorials of this course, you can knowledge deep learning in development programs data use.

Cases in which the course is taught:

  • Dating principles with the basics of the topic deep learning
  • Learn how to build neural networks and use it
  • Improve programming skills in Python language
  • Familiarity with how to implement neural networks efficiently
  • Understand the key parameters in the architecture of a neural network
  • And…

Profile courses :

  • Publisher : Coursera
  • Language : English
  • Duration Time : 3 months at 10 hours a week
  • Number of courses: 5
  • Instructor : Andrew Ng
  • File format : mp4

This course Neural Networks and Deep Learning

Deep Learning Specialization

Images

Deep Learning Specialization

Sample movie

Installation guide

After the Extract with the Player your custom view.

Subtitles: English

Quality: 720p

To find assignments, quizzes, … refer to this link. For ease of using AI tools and packages, it is suggested to use Anaconda and its graphical environment, Anaconda Navigator, which is free.

Changes:

v2021/4:

We’re thrilled to announce that we’ve updated the first four courses of the Deep Learning Specialization on Coursera! The updated material includes leading-edge techniques and concepts that will better prepare learners to apply their deep learning skills for building real-world applications. With this refresh, you can also access updated lectures, quizzes, and assignments that reflect the recent changes to the TensorFlow API.

v2023/8:

Neural Networks and Deep Learning course: The 24 videos with total duration of 7 hours and 7 minutes and 98 documents (quizzes, highlights, PowerPoint, etc.) has increased.

Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization course: The 37 videos with total duration of 5 hours and 41 minutes and 77 documents (quizzes, highlights, PowerPoint, etc.) has increased.

Structuring Machine Learning Projects course: 24 videos with total duration of 4 hours and 5 minutes and 67 documents (quizzes, highlights, PowerPoint, etc.) has increased.

Convolutional Neural Networks course: 37 videos with total duration of 6 hours and 10 minutes and 92 documents (quizzes, highlights, PowerPoint, etc.) has increased.

Sequence Models course:28 videos with total duration of 5 hours and 5 minutes and 75 documents (quizzes, highlights, PowerPoint, etc.) has increased.


The 2025/4 version has increased by 7 lessons and 55 minutes in duration compared to the 2023/8 version.

Download link

Course 1 – Neural Networks and Deep Learning

Download – 832 MB

Course 2 – Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Download – 738 MB

Course 3 – Structuring Machine Learning Projects

Download – 528 MB

Course 4 – Convolutional Neural Networks

Download – 873 MB

Course 5 – Sequence Models

Download – 508 MB

Download Transformer Network Module ( In the new update, after entering the course, this module is not available. therefore, it is placed separately from the previous version)

File size

3.39 GB