13.May.2022

Deep Learning with Tensorflow


The book was published in 2020 by KODLAB. Fundamentals of Artificial Intelligence are covered.
Applications related to many functions with Python, OPenCV and JavaScript libraries and Frameworks are given in detail.
Object recognition (live, inanimate), quantity recognition (sound, image, motion, temperature, humidity, gravity) functions;
Deep Learning (ML) is processed in a simple and understandable way.
The content of the book is as follows:

 

Book content
Artificial Intelligence
Deep Learning
Artificial Neurons
Deep Learning Layers
Convolutional Neural Networks
Image Processing
HaarCascade
Machine Learning
Tensorflow
OpenCV
Object Detection
Deep Learning Model Traning
Data Augmentation
Datasets
Generative Adverserial Networks (GANs)
Keras
Optical Paper Recognition Project
Mnist Dataset Creation Project

Deep Learning with Tensorflow


The book was published in 2020 by KODLAB. Fundamentals of Artificial Intelligence are covered.
Applications related to many functions with Python, OPenCV and JavaScript libraries and Frameworks are given in detail.
Object recognition (live, inanimate), quantity recognition (sound, image, motion, temperature, humidity, gravity) functions;
Deep Learning (ML) is processed in a simple and understandable way.
The content of the book is as follows:

 

Book content
Artificial Intelligence
Deep Learning
Artificial Neurons
Deep Learning Layers
Convolutional Neural Networks
Image Processing
HaarCascade
Machine Learning
Tensorflow
OpenCV
Object Detection
Deep Learning Model Traning
Data Augmentation
Datasets
Generative Adverserial Networks (GANs)
Keras
Optical Paper Recognition Project
Mnist Dataset Creation Project

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