TensorFlow for Deep Learning Bootcamp

Learn TensorFlow by Google. Become an AI, Machine Learning, and Deep Learning expert!

4.71 (11955 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing

Complete access to ALL interactive notebooks and ALL course slides as downloadable guides

Increase your skills in Machine Learning, Artificial Intelligence, and Deep Learning

Understand how to integrate Machine Learning into tools and applications

Learn to build all types of Machine Learning Models using the latest TensorFlow 2

Build image recognition, text recognition algorithms with deep neural networks and convolutional neural networks

Using real world images to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy

Applying Deep Learning for Time Series Forecasting

Gain the skills you need to become a TensorFlow Developer

Be recognized as a top candidate for recruiters seeking TensorFlow developers

Course Gallery

TensorFlow for Deep Learning Bootcamp – Screenshot 1 — Screenshot 1 – TensorFlow for Deep Learning Bootcamp

TensorFlow for Deep Learning Bootcamp – Screenshot 2 — Screenshot 2 – TensorFlow for Deep Learning Bootcamp

TensorFlow for Deep Learning Bootcamp – Screenshot 3 — Screenshot 3 – TensorFlow for Deep Learning Bootcamp

TensorFlow for Deep Learning Bootcamp – Screenshot 4 — Screenshot 4 – TensorFlow for Deep Learning Bootcamp

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Comidoc Review

Our Verdict

This TensorFlow for Deep Learning Bootcamp is a solid choice for those seeking a comprehensive exploration of the framework, covering various applications through extensive materials and realistic coding exercises. While the course could benefit from greater attention to detail and structure, it excels in providing hands-on experience essential for mastering TensorFlow.

What We Liked

Comprehensive TensorFlow course covering various applications
Includes industry relevant topics like Computer Vision, Transfer Learning, NLP & Time Series modeling
Well-prepared materials with numerous code examples & exercises
Realistic coding experience with troubleshooting guidance

Potential Drawbacks

Content can feel repetitive and lengthy at times
Lack of detail on some topics, occasionally leaving gaps in understanding
Issues encountered with provided codes not always addressed
Minimal theory discussion may leave some students desiring more depth