CARLOS QUIROS
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
Courses : 3
Specification: Deep Learning for Computer Vision with TensorFlow 2
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23 reviews for Deep Learning for Computer Vision with TensorFlow 2
Add a review
| Price | $19.99 |
|---|---|
| Provider | |
| Duration | 12 hours |
| Year | 2022 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$19.99
Juan Jose Ignacio Lazaro Lazaro –
Interesting computer vision course, I liked it.
Paul Hammer –
very good explanation of using keras and advanced object detection algs
Andrej Babrnak –
Detailed instruction one by one.. Video have quite poor quality and is hard to read
Rudrachand Chand –
not systematic approach
William Richter –
Learning more about Machine Learning, long time programmer/Software Engineer. Have used Python for 7 8 years.
Paul D. Morton –
So far Carlos has provided very detailed instructions and he walks you through step by step. Great class!
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
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.
Armstrong Ngolo –
Made clear a lot of things
Med H –
one of the best Computer Vision courses
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.
Robin Ghosh –
Very well explained
Amir Engel –
Author must update is opencv version to 4.2
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.
Vemula Ganesh Kumar –
you should explain more clearly.
Sunil –
Language accent is not clear
Song Son Ha –
very well course. Thanks a lot!
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.
Estanislau de Sena Filho –
Excellent course. Excellent explanation. It’s the best machine learning course for computer vision. I recommend
Mickey Cohen –
Only lots of information. Nothing concrete.
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.
Angel Menendez –
In general is e very complete course but would like to get more of why than how type of explanation.
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