Udemy – TensorFlow for Deep Learning Bootcamp 2025-2
Udemy – TensorFlow for Deep Learning Bootcamp 2025-2 Downloadly IRSpace
TensorFlow for Deep Learning Bootcamp is a TensorFlow training course for mastery of artificial intelligence, machine learning and in-depth learning. The purpose of this course is to teach you all the skills you need to pass the Google TensorFlow exam, and as a result you can use this degree in your resume. This course has been project-oriented, and it is not as if you are just witnessing teaching and gaining practical experience.
What you will learn in the TensorFlow for Deep Learning Bootcamp course:
- Learn to pass the official Google Test for TensorFlow development
- Build TensorFlow models using machine learning, CNN neural networks and natural language processing
- Improve your machine learning skills and deep learning to assess your abilities with the help of tests
- Understand how to apply machine learning in tools and applications
- How to build all kinds of machine learning models using the latest TensorFlow 2
- Build image recognition models, object recognition, text recognition algorithms using deep neural networks and CNN
- Using real-world images in various shapes and sizes to illustrate the image recognition process and how machine vision works
- Apply deep learning for Time Series Forecasting
Course specifications
- Publisher : Udemy
- Teacher : Andrei Neagoie , Daniel Bourke
- Language: English
- Level : All Levels
- Lectures : 417
- Duration : 62 hours and 57 minutes
Course topics:

Prerequisites course
Pictures

Sample film
Installation guide
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Subtitle: English
Quality: 720p
Previous titles:
TensorFlow Developer Certificate in 2023: Zero to Mastery
TensorFlow Developer Certificate Bootcamp
Changes:
Version 2023/2 compared to 2022/9 has increased the number of 1 lesson and the duration of 4 minutes.
Version 2023/6 compare to 2023/2: video number 47 in chapter 12 was added.
Version 2024/5 compared to 2023/6 has decreased the number of 6 lessons and the duration of 36 minutes.
The 2025/2 version has increased the duration by 1 minute compared to 2024/5.
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Size
31.9 GB
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