Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

Thimira Amaratunga

Informasi Umum

Kode

21.21.1353

Klasifikasi

006.3 - Special Computer Methods- Artificial intelligence

Jenis

Buku - Elektronik (E-Book)

Subjek

Computer Programming

No. Rak

Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3

Dilihat

58 kali

Informasi Lainnya

Abstraksi

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows.

Moving forward, you will build a deep learning model and understand the internal workings of a convolutional neural network on Windows. Further, you will go through different ways to visualize the internal-workings of deep learning models along with an understanding of transfer learning where you will learn how to build model architecture and use data augmentations. Next, you will manage and train deep learning models on Windows before deploying your application as a web application. You’ll also do some simple image processing and work with computer vision options that will help you build various applications with deep learning. Finally, you will use generative adversarial networks along with reinforcement learning. After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Anda harus log in untuk mengakses flippingbook

Pengarang

Nama	Thimira Amaratunga
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	Apress
Kota
Tahun	2021

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

Download / Flippingbook

E - Book (ebook.pdf)

diunduh 5 kali

Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows
Thimira Amaratunga