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Deep Learning with Python on Windows Pc

Developed By: fuzzysystemzone

License: Free

Rating: 4,1/5 - 9 votes

Last Updated: April 20, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 5
Size 45.3 MB
Release Date December 13, 23
Category Books & Reference Apps

App Permissions:
Allows applications to open network sockets. [see more (4)]

Description from Developer:
The goal of this app is to introduce deep learning enthusiast to computer vision, starting from basics and then turning to more modern deep learning models. Deep learning for Compu... [read more]

App preview ([see all 5 screenshots])

App preview

About this app

On this page you can download Deep Learning with Python and install on Windows PC. Deep Learning with Python is free Books & Reference app, developed by fuzzysystemzone. Latest version of Deep Learning with Python is 5, was released on 2023-12-13 (updated on 2024-04-20). Estimated number of the downloads is more than 500. Overall rating of Deep Learning with Python is 4,1. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 9 users, 2 users had rated it 5*, 7 users had rated it 1*.

How to install Deep Learning with Python on Windows?

Instruction on how to install Deep Learning with Python on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Deep Learning with Python on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install Deep Learning with Python using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Deep Learning with Python" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Deep Learning with Python on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Deep Learning with Python" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 5.

Download Deep Learning with Python 5 on Windows PC – 45.3 MB

The goal of this app is to introduce deep learning enthusiast to computer vision, starting from basics and then turning to more modern deep learning models. Deep learning for Computer vision app will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and often demonstrated in movies and TV-shows example of computer vision and AI.

Main Specific Topic:

✔ What is Deep Learning?.
✔ Image Fundamentals.
✔ Image Classification Basics.
✔ Datasets for Image Classification.
✔ Configuring Your Development Environment
✔ Create First Image Classifier.
✔ Parameterized Learning
✔ Optimization Methods and Regularization.
✔ Neural Network Fundamentals.
✔ Convolutional Neural Networks.
✔ Training Your First CNN .
✔ Saving and Loading Your Models
✔ LeNet: Recognizing Handwritten Digits.
✔ MiniVGGNet: Going Deeper with CNNs
✔ Learning Rate Schedulers.
✔ Spotting Underfitting and Overfitting.
✔ Checkpointing Models.
✔ Visualizing Network Architectures.
✔ Computer Vision Concepts and Practice examples
✔ Out-of-the-box CNNs for Classification.
✔ Python programming core topics.
✔ Data Science Topics Python Code examples.
✔ Machine Learning with Code examples.
Allows applications to open network sockets.
Allows applications to access information about networks.
Allows applications to access information about Wi-Fi networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.