Step by Step Tutorials on Deep Learning Using Scikit Learn Keras and Tensorflow with Python GUI is popular PDF and ePub book, written by Rismon Hasiholan Sianipar in 2021-04-24, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, Step by Step Tutorials on Deep Learning Using Scikit Learn Keras and Tensorflow with Python GUI can be Read Online from any device for your convenience.
Step by Step Tutorials on Deep Learning Using Scikit Learn Keras and Tensorflow with Python GUI Book PDF Summary
In this book, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on classifying fruits, classifying cats/dogs, detecting furnitures, and classifying fashion.In Chapter 1, you will learn to create GUI applications to display line graph using PyQt. You will also learn how to display image and its histogram. Then, you will learn how to use OpenCV, NumPy, and other libraries to perform feature extraction with Python GUI (PyQt). The feature detection techniques used in this chapter are Harris Corner Detection, Shi-Tomasi Corner Detector, and Scale-Invariant Feature Transform (SIFT).In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying fruits using Fruits 360 dataset provided by Kaggle (https: //www.kaggle.com/moltean/fruits/code) using Transfer Learning and CNN models. You will build a GUI application for this purpose.In Chapter 3, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying cats/dogs using dataset provided by Kaggle (https: //www.kaggle.com/chetankv/dogs-cats-images) using Using CNN with Data Generator. You will build a GUI application for this purpose.In Chapter 4, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform detecting furnitures using Furniture Detector dataset provided by Kaggle (https: //www.kaggle.com/akkithetechie/furniture-detector) using VGG16 model. You will build a GUI application for this purpose.In Chapter 5, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying fashion using Fashion MNIST dataset provided by Kaggle (https: //www.kaggle.com/zalando-research/fashionmnist/code) using CNN model. You will build a GUI application for this purp
Detail Book of Step by Step Tutorials on Deep Learning Using Scikit Learn Keras and Tensorflow with Python GUI PDF
- Author : Rismon Hasiholan Sianipar
- Release : 24 April 2021
- Publisher : Independently Published
- ISBN : 9798743414062
- Genre : Uncategoriezed
- Total Page : 228 pages
- Language : English
- PDF File Size : 19,7 Mb
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