Tag: Classification

  • Hands-On Guide To IMAGE CLASSIFICATION Using Scikit-Learn, Keras, And TensorFlow with PYTHON GUI

    Hands-On Guide To IMAGE CLASSIFICATION Using Scikit-Learn, Keras, And TensorFlow with PYTHON GUI


    Price: $9.99
    (as of Dec 14,2024 02:26:03 UTC – Details)




    ASIN ‏ : ‎ B095YZT8N4
    Publisher ‏ : ‎ BALIGE PUBLISHING; 2nd edition (May 26, 2021)
    Publication date ‏ : ‎ May 26, 2021
    Language ‏ : ‎ English
    File size ‏ : ‎ 7654 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 129 pages
    Page numbers source ISBN ‏ : ‎ B0962FP7VN


    In this hands-on guide, we will walk you through the process of image classification using popular Python libraries like Scikit-Learn, Keras, and TensorFlow. We will also create a graphical user interface (GUI) using Python to interact with our image classification model.

    First, we will start by loading a dataset of images that we want to classify. We will then preprocess the images and extract features using Scikit-Learn. Next, we will build a neural network model using Keras and train it on our dataset using TensorFlow as the backend.

    After training our model, we will evaluate its performance on a separate test set of images. Finally, we will create a user-friendly GUI using Python libraries like Tkinter to allow users to upload their own images and get predictions from our trained model.

    By the end of this guide, you will have a solid understanding of image classification techniques and how to implement them using popular Python libraries. So let’s get started on our journey to building an image classification model with a Python GUI!
    #HandsOn #Guide #IMAGE #CLASSIFICATION #ScikitLearn #Keras #TensorFlow #PYTHON #GUI

  • Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

    Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection


    Price: $49.99 – $47.42
    (as of Dec 13,2024 19:50:39 UTC – Details)


    From the brand

    B18297 Brand story Packt booksB18297 Brand story Packt books

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    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

    Publisher ‏ : ‎ Packt Publishing (March 29, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 274 pages
    ISBN-10 ‏ : ‎ 1805129236
    ISBN-13 ‏ : ‎ 978-1805129233
    Item Weight ‏ : ‎ 1.05 pounds
    Dimensions ‏ : ‎ 7.5 x 0.58 x 9.25 inches


    Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

    Are you looking to dive deep into the world of time series analysis using deep learning techniques? Look no further than our latest cookbook, which is packed with practical recipes for using PyTorch and Python to tackle time series forecasting, classification, and anomaly detection.

    In this cookbook, you will find step-by-step instructions for building and training deep learning models for time series data. From preprocessing and feature engineering to model evaluation and deployment, each recipe is designed to help you master the art of time series analysis with PyTorch.

    Whether you are a beginner looking to get started with time series analysis or an experienced data scientist seeking to expand your skill set, this cookbook has something for everyone. With a focus on real-world applications and hands-on exercises, you will learn how to leverage the power of deep learning to extract valuable insights from time series data.

    So why wait? Pick up a copy of our Deep Learning for Time Series Cookbook today and start building your own cutting-edge time series models with PyTorch and Python. Happy coding!
    #Deep #Learning #Time #Series #Cookbook #PyTorch #Python #recipes #forecasting #classification #anomaly #detection

  • 001-2000 Pieces Inventory Number Sticker Labels Self Adhesive Waterproof Labels Vinyl Consecutive Number Stickers Labels for Indoor, Outdoor, Storage, Classification, Supplies, 0.39 x 0.78 Inch

    001-2000 Pieces Inventory Number Sticker Labels Self Adhesive Waterproof Labels Vinyl Consecutive Number Stickers Labels for Indoor, Outdoor, Storage, Classification, Supplies, 0.39 x 0.78 Inch


    Price: $7.99
    (as of Nov 25,2024 04:14:31 UTC – Details)




    Features:

    Numbered conveniently:
    You can use these consecutive number labels as numbering system, they can save your time of typing, printing and cutting, also help you find the target item in the clutter, makes your life much simpler.

    Use easily and waterproof:
    Self-adhesive and easy to stick or peel off, black number design is easy to be identified, in addition, waterproof material and durable for long serving life.

    Wide usages:
    These continuous digital label stickers can be applied for various items, such as marking materials, kraft paper, cartons, metals, etc., and can also be applied in offices, inventory, homes, storage management and other places.

    Specifications:
    Color: as pictures shown
    Size: approx. 1 x 2 cm/ 0.39 x 0.78 inch

    Package include:
    1 Roll consecutive number stickers (2000 pieces)

    Note:
    Manual measurement, please allow little size errors.
    Multipurpose number labels: there inventory stickers can be widely applied in inventory management, organizations, books, shipping boxes, packaging, great for marking bins, toolbox, hangers and any other products you need to tag; Suitable for home, office, sports events and parties, convenient for you to recognize and organize things
    Quality material: made of quality vinyl, these inventory stickers are waterproof, weatherproof and sun protection, fit for both indoor and outdoor use; Each single sticker size is approx. 1 x 2 cm/ 0.39 x 0.78 inch, neither too big nor too small, the proper size for you to use
    Numbered conveniently: you can use the number inventory stickers as numbering system, saving you tons of typing, printing and cutting time, while letting people find the target item in the clutter quickly and fast, improving work efficiency
    Easy to use: inventory labels are self-adhesive and easy to stick or peel off, black number and silver background contrast make them easy to be identified; Besides, waterproof material and nice stickiness are durable for long-term use
    Package includes: you will receive 1 roll consecutive number label stickers, from 001 to 2000, sufficient quantity for your use

    Customers say

    Customers like the functionality and inventory management of the label. They mention it works well, is useful, and adequate for occasional usage. Customers also appreciate the ease of use, readability, and value for money. However, some customers have different opinions on the stickiness, size, and ease of application.

    AI-generated from the text of customer reviews


    Are you looking for the perfect solution for organizing your inventory? Look no further than our 001-2000 Pieces Inventory Number Sticker Labels!

    These self-adhesive waterproof labels are made of high-quality vinyl, making them perfect for indoor and outdoor use. Each label measures 0.39 x 0.78 inches, making them the ideal size for labeling a wide variety of items.

    Whether you need to label supplies, classify inventory, or simply keep track of your belongings, these consecutive number stickers are the perfect solution. With a range of 001-2000 pieces, you’ll have plenty of labels to keep your inventory organized.

    Don’t let clutter and disorganization get the best of you. Invest in our Inventory Number Sticker Labels today and experience the convenience of a well-organized space. Order yours now!
    #Pieces #Inventory #Number #Sticker #Labels #Adhesive #Waterproof #Labels #Vinyl #Consecutive #Number #Stickers #Labels #Indoor #Outdoor #Storage #Classification #Supplies #Inch

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