Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks
Preces #: 138661975

Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks

Preces #: 138661975

€ 25

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Lielbritānija

Noliktavā
Lielbritānija Importēts no veikala UK

QTY:

Pasūtiet tūlīt un saņemiet to Ceturtdiena, Oktobris 15
Our Top Logistics Partners
  • fedex
  • dhl
Parādīt vairāk
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
visa payment
mastercard payment

Produkta informācija

Shop Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks online at a best price in Latvia. B0F997FRZY
  • 8 x 10 Inch Large Pages - Black and White VersionDeep Learning: Python for Data Science A Guide to Using Python for TensorFlow, PyTorch, and Keras in Creating Deep Learning Model FrameworksUnlock the transformative power of deep learning with Deep Learning: Python for Data Science, your essential guide to building, training, and deploying advanced deep learning models using Python’s leading frameworks—TensorFlow, PyTorch, and Keras. Whether you’re an aspiring data scientist, experienced developer, or technology enthusiast, this book provides a hands-on approach to mastering deep learning techniques crucial for today’s AI-driven world.Inside This Book:Foundations of Deep Learning: Understand neural networks, their evolution from traditional machine learning, and their applications in image recognition, natural language processing, and recommendation systems.Mastering TensorFlow: Dive into TensorFlow’s execution models, tensor operations, and data pipelines. Learn to build and optimize models, leverage GPU support, and enhance performance with tf.function.Harnessing Keras for Simplicity and Power: Utilize Keras to streamline model development. From Sequential models for quick prototypes to the Functional API for complex architectures, gain skills in compiling, training, evaluating, and visualizing models with TensorBoard.Exploring PyTorch’s Flexibility: Transition to PyTorch’s dynamic computation graph and intuitive design. Master tensor operations, define models with torch.nn.Module, implement automatic differentiation, and develop robust training scripts.Advanced Model Architectures: Enhance your models with multi-input/multi-output architectures, custom layers, and modules. Optimize training workflows with data augmentation, normalization, dropout, and batch normalization.Data Preprocessing and Input Pipelines: Effectively handle diverse data types—images, text, and tabular data. Convert raw data into tensors, utilize tf.data and torch.utils.data.Dataset for efficient data handling, and implement strategies for large-scale datasets.Deployment and Serving Models: Transition models to production with TensorFlow Serving and TorchServe. Create REST APIs using Flask or FastAPI, design batch inference pipelines, and optimize infrastructure for low latency and high throughput.For those interested in:zdeep learning, Python for data science, TensorFlow, PyTorch, Keras, neural networks, machine learning, AI models, data preprocessing, model training, model deployment, deep learning frameworks, advanced deep learning, data science guide, practical deep learning, building AI models, training neural networks, deploying deep learning models, TensorFlow tutorials, PyTorch tutorials, Keras tutorials, machine learning with Python, AI development, deep learning applications, image recognition, natural language processing, recommendation systems, GPU acceleration, TensorFlow vs PyTorch, Keras models, deep learning techniques, data science workflows, automated machine learning, deep learning projects, scalable AI models, deep learning optimization, model evaluation, deep learning pipelines, real-world AI, responsible AI, ethical deep learning, deep learning best practices, hands-on deep learning, comprehensive deep learning, multi-framework deep learning, deep learning strategies
Publisher Independently published
Publication date 19 May 2025
Language English
Print length 125 pages
ISBN-13 979-8284473689
Item weight 340 g
Dimensions 20.32 x 0.74 x 25.4 cm

PRODUKTA APRAKSTS

Deep Learning: Python for Data Science: A Guide to using Python for Tensor Flow, PyTorch, Keras in creating Deep Learning Model Frameworks

Vai jums ir kādi jautājumi? Terzet ar mums

Klientu jautājumi un atbildes

  • jautājums: Kā iepirkties Deep Learning: Python for Data Science: A Guide to tiešsaistē no Ubuy?

    atbildi: Ir viegli iepirkties Deep Learning: Python for Data Science: A Guide to tiešsaistē no Ubuy.. Jums vienkārši ir jāmeklē prece, izrakstīšanās laikā jāizvēlas piegādes veids un jāsaņem tā piegāde uz jūsu atrašanās vietu.
  • jautājums: Vai Deep Learning: Python for Data Science: A Guide to ir pieejams iepirkšanās tiešsaistē šeit: Latvia?

    atbildi: Jā, Ubuy Latvia šis produkts ir pieejams, lai jūs varētu iepirkties par saprātīgu cenu.. Deep Learning: Python for Data Science: A Guide to nav pieejams lokāli, taču varat mums uzticēt mūsu ātrās piegādes pakalpojumus.
  • jautājums: Cik ilgs laiks nepieciešams, lai saņemtu preci pēc pasūtījuma veikšanas?

    atbildi: Jūsu pasūtītās preces piegādes laiks atšķiras atkarībā no jūsu pasūtījuma un jūsu izvēlētā piegādes veida.. Paredzamais piegādes laiks tiek minēts norēķināšanās procesā, tāpēc iepērkoties esiet bezrūpīgs.

AI & Machine Learning Editorial Review

Redakcionālas atsauksmes netika atrastas

Customer Reviews & Ratings

5.0
1 klientu vērtējumi
  • 5 zvaigzne
    100%
  • 4 zvaigzne
    0%
  • 3 zvaigzne
    0%
  • 2 zvaigzne
    0%
  • 1 zvaigzne
    0%

Pārskatiet šo produktu

Dalieties savās domās ar citiem klientiem

Product Price History

Svarīga informācija

  • Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
  • Ne visi Ubuy uzskaitītie produkti ir pārdošanā, jo Ubuy ir globāla meklētājprogramma. Uz produktiem attiecas eksporta/tirdzniecības noteikumi.