در حال حاضر محصولی در سبد خرید شما وجود ندارد.

If you’re looking for hands-on AI practice, this workshop-style coding course was designed for you. Join instructor Janani Ravi as she shows you how to build and train deep convolutional generative adversarial networks (DCGANs). Explore the core components of convolutional and pooling layers, including setting up Google Colab cloud-hosted notebooks, transforming multichannel images to tensors, applying layers, and viewing filter effects. Janani covers the basics of training a discriminator as a classification model and training a deep convolutional GAN like a pro, from setting up data for GAN training, setting up the generator and discriminator, and outputting from an untrained generator and discriminator to creating a training loop, viewing and evaluating results, and more.
This course was created by Loonycorn. We are pleased to host this content in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

Natural Language Generation with Python

Building Statistical Summaries with R

Performing Dimension Analysis with R

Data Labeling for Machine Learning

Data Management with Apache NiFi

Implementing Bootstrap Methods in R

Data Engineering Pipeline Management with Apache Airflow

آموزش مدل سازی داده های استریمینگ بوسیله Apache Beam SDK

AI Text Summarization with Hugging Face

آموزش معماری راهکارهای بیگ دیتا با استفاده از Google Dataproc
فوری … نیمی از محصولات حذف شد! حذف کامل سایت تا اواسط تیر توضیحات