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- 83% Deep Learning for Computer Vision with Tensor Flow and Keras

Deep Learning for Computer Vision with TensorFlow 2

$19.99Track price

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8.0/10 (Our Score)
Product is rated as #276 in category Machine Learning

This course is focused in the application of Deep Learning for image classification and object detection. This course originally was designed in TensorFlow version 1.X but now the lessons and codes were updated with TensorFlow version 2.X, mainly by the use of Google Colaboratory(Colab).

If you dont have an available GPU in your local system or you want to experiment in an environment without any previous installation or setup, dont worry you can follow the course smootly because all codes were optimized in Google Colab.

The course starts with a concise review of the main concepts in Deep Learning, because this course focused in the application of Deep Learning in the computer vision field.

The main computer vision tasks covered in this course are image classification and object detection.

After reviewing the deep learning theory you will enter in the study of Convolutional Neural Networks (ConvNets) for image classification studying the following concepts and algorithms:

Image Fundamentals

– Loading images in TensorFlow

– The building blocks of ConvNets such as:

   Convolution Operation,

   Filters,

   Batch Normalization,

   ReLU Function,

   DropOut,

   Pooling Layers,

   Dilation,

   Shared Weights,

   Image Augmentation, etc

– Different ConvNets architectures such as:

   LeNet5,

   AlexNet,

   VGG–16,

   ResNet

   Inception.

– Many practical applications using famous datasets such as:

Instructor Details

Industrial Engineer with more than 20 years in developing and managing business, with vast experience on process analysis and developing business information systems for data science. He has an Industrial Engineering degree from Pontificia Universidad Catolica del Peru (Lima-Peru) and Master in Business Administration (MBA) from ESAN Graduated School of Business (Lima-Peru). He is also an experience developer of machine learning and data science models in many fields of the industry and services like Marketing, Logistics, Finance, Manufacture, Quality Control, Computer Vision, NLP, Deep Learning apps and many others. He wants to share his experience teaching you on a simple and practical way, illustrating concepts based on graphics for better understanding.

Specification: Deep Learning for Computer Vision with TensorFlow 2

Duration

12 hours

Year

2022

Level

Intermediate

Certificate

Yes

Quizzes

No

23 reviews for Deep Learning for Computer Vision with TensorFlow 2

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  1. Juan Jose Ignacio Lazaro Lazaro

    Interesting computer vision course, I liked it.

    Helpful(0) Unhelpful(0)You have already voted this
  2. Paul Hammer

    very good explanation of using keras and advanced object detection algs

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  3. Andrej Babrnak

    Detailed instruction one by one.. Video have quite poor quality and is hard to read

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  4. Rudrachand Chand

    not systematic approach

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  5. William Richter

    Learning more about Machine Learning, long time programmer/Software Engineer. Have used Python for 7 8 years.

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  6. Paul D. Morton

    So far Carlos has provided very detailed instructions and he walks you through step by step. Great class!

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  7. Lior Sasson

    The teacher should be more charismatic and more explicit. English is not my mother’s tongue and it’s a bit hard to understand him

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  8. Kausthub

    Excellent course to run through to Object Detection without wasting too much time with other topics. A great guide for someone who already mostly knows what they’re doing.

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  9. Armstrong Ngolo

    Made clear a lot of things

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  10. Med H

    one of the best Computer Vision courses

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  11. Yuliia Kanarovska

    Excellent explanations, easy to understand. If you have no prior knowledge about Object Detection this course is absolute must. This course is a really good knowledge base.

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  12. Robin Ghosh

    Very well explained

    Helpful(0) Unhelpful(0)You have already voted this
  13. Amir Engel

    Author must update is opencv version to 4.2

    Helpful(0) Unhelpful(0)You have already voted this
  14. Guilherme Salom o Agostini

    This course had me three stages: 1 The theorical part was amazing, every single part of convolutional neural network was amazingly explained. 2 Even thought the instructor told about he was about teach in old versions, I really wanted to learn on the latest version And I was able to, however, took much timer than I expected (some functions were deprecated as indeed). That point had me down a bit, and thats why I put four stars. 3 The Object Detection Part It was the first time I was really able to see some importants details about it. Even thought he teachs how to use, he doenst explains it in detail , BUT, gives references to an after study.

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  15. Vemula Ganesh Kumar

    you should explain more clearly.

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  16. Sunil

    Language accent is not clear

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  17. Song Son Ha

    very well course. Thanks a lot!

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  18. Areej Al Medinah

    The course is really good for computer vision. It consists of all the material required to put computer vision projects in practice. After building a great understanding through theory, it also gives hands on experience.

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  19. Estanislau de Sena Filho

    Excellent course. Excellent explanation. It’s the best machine learning course for computer vision. I recommend

    Helpful(0) Unhelpful(0)You have already voted this
  20. Mickey Cohen

    Only lots of information. Nothing concrete.

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  21. Nicolas Vautier

    Very good course, many ressources, some are missing but the professor is very reacti$ve and gives us everything. Good course when you want to go deeper in computer vision.

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  22. Angel Menendez

    In general is e very complete course but would like to get more of why than how type of explanation.

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  23. Bader Alafnan

    He talks so fast, he does not seem to understand the concept he just copies and pastes codes and read out the code

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    Deep Learning for Computer Vision with TensorFlow 2
    Deep Learning for Computer Vision with TensorFlow 2

    $19.99

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