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Coursera – Deep Learning Specialization 2023-8 – Download

Description

Neural Networks and Deep Learning is the name of the training video series in the area of ​​data and machine learning. Nowadays one of the educational topics, popular topics is deep learning or the same Deep learning may be. This period is actually part of this knowledge. In this course you will learn the basics and fundamentals of Neural networks and deep learning will be familiar with the concept of artificial intelligence. At the end of this course you will be able to implement systems with high artificial intelligence and bring them to the stage.

Even during this time, every effort has been made to pass on the concept and performance of deep learning to you in a technical manner. This course can also help you find an ideal job. With the learning content and training available in this degree program, you will be well prepared for your professional opportunities. Finally, and by viewing all of the sessions and tutorials in this course, you can gain in-depth knowledge of data usage in development programs.

Cases in which the course is taught:

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

Profile courses:

  • Publisher: Coursera
  • Language: English
  • Duration: 3 months with 10 hours per week
  • Number of courses: 5
  • Lecturer: Andrew Ng
  • File format: mp4

This course Neural Networks and Deep Learning

Specialization in deep learning

Pictures

Specialization in deep learning

Example film

installation Guide

After extracting with the player you will get your custom view.

Subtitles: English

Quality: 720p

Here you will find tasks, tests, etc LeftTo simplify the use of AI tools and packages, it is recommended to use anaconda and its graphical environment, Anaconda Navigator, which is free.

Changes:

v2021/4:

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

v2023/8:

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

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

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

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

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

Download link

Neural networks and deep learning

Download Part 1 – 1GB

Download Part 2 – 369 MB

Improving hyperparameter tuning, regularization and optimization of deep neural networks

Download Part 1 – 1GB

Download Part 2 – 97.7 MB

Structuring machine learning projects

Download – 932MB

Convolutional Neural Networks

Download Part 1 – 1GB

Download Part 2 – 437 MB

Sequence models

Download – 834 MB

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

Password file(s): free software

File size

5.46GB