29243
@alloadv تبلیغات ادمین : @maryam3771
Learn Keras for Deep Neural Networks
▪️What You’ll Learn
• Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions.
• Design, develop, train, validate, and deploy deep neural networks using the Keras framework
• Use best practices for debugging and validating deep learning models
• Deploy and integrate deep learning as a service into a larger software service or product
• Extend deep learning principles into other popular frameworks
▪️Who This Book Is For
Software engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.
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#پایتون
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🆔 @Programming4all_0to100
Mastering pandas for Finance Master pandas an open source Python
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#پایتون
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🆔 @Programming4all_0to100
Python Data Analysis for Newbies: Numpy/pandas/matplotlib/scikit-learn/keras
Joshua K. Cage (2020)
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#یادگیری_ماشین #علم_داده #پایتون
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Advanced Natural Language Processing with TensorFlow
▪️What you will learn:
Grasp important pre-steps in building NLP applications like POS tagging
Deal with vast amounts of unlabeled and small labelled Datasets in NLP
Use transfer and weakly supervised learning using libraries like Snorkel
Perform sentiment analysis using BERT
Apply encoder-decoder NN architectures and beam search for summarizing text
Use transformer models with attention to bring images and text together
Build applications that generate captions and answer questions about images
Use advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest deep NLP models
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#یادگیری_ماشین #علم_داده #تنسورفلو #پردازش_زبان_طبیعی
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AI for Data Science
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#هوش_مصنوعی #علم_داده
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Deep Learning with PyTorch Quick Start Guide
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#پایتون #یادگیری_ماشین
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Scientific Computing with Python 3
🆔 @Programming4all_0to100
Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book
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#پایتون #هوش_مصنوعی #اینترنت_اشیا
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🔹آموزش پیشرفته سی شارپ
مدرس : دکتر رضا مشایخی
#سی_شارپ
🆔 @Max_Academy
Machine Learning for Time Series Forecasting with Python (2020)
@Programming4all_0to100
📘A Python Data Analyst’s Toolkit_ Learn Python And Python-based Libraries
Author(s): Gayathri Rajagopalan
Publisher: Apress, Year: 2021
Description:
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis.
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Image Operators Image Processing in Python
🆔 @Programming4all_0to100
📘Django for APIs
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#پایتون #Django
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📘Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
▪️Description:
From the Preface
This book aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP with an emphasis on implementation, this book occupies an important middle ground. While writing the book, we had to make difficult, and sometimes uncomfortable, choices on what material to leave out. For a beginner reader, we hope the book will provide a strong foundation in the basics and a glimpse of what is possible. Machine learning, and deep learning in particular, is an experiential discipline, as opposed to an intellectual science. The generous end-to-end code examples in each chapter invite you to partake in that experience.
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#پایتون #پردازش_زبان_طبیعی
🆔 @Programming4all_0to100
💥%95 تخفیف | دوره آموزش پایتون
قیمت: 23,500 تومان | 470,000 تومان
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و بعدش میتونی بری دنبال کارای خفن توی پایتون مثل هک و بازی سازی و هوش مصنوعی و یادگیری ماشین و ...😍
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🔗: https://b2n.ir/042082
Learn Keras for Deep Neural Networks
Description:
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.
The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You’ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets.
🆔 @Programming4all_0to100
📘Mastering pandas for Finance Master pandas an open source Python
🆔 @Programming4all_0to100
📘Python Data Analysis for Newbies: Numpy/pandas/matplotlib/scikit-learn/keras
Joshua K. Cage (2020)
🆔 @Programming4all_0to100
📘ADVANCED NATURAL LANGUAGE PROCESSING WITH TENSORFLOW 2: Build Real-world Effective Nlp... Applications Using Ner, Rnns, Seq2seq Models, Tran
Author(s): ASHISH. BANSAL
Publisher: Packt Publishing Limited, Year: 2021
▪️Who This Book Is For:
This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra.
The readers who can benefit the most from this book include:
Intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques
Professionals who already use TensorFlow/Python for purposes such as data science, ML, research, and analysis
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📘AI for Data Science
🆔 @Programming4all_0to100
📘Deep Learning with PyTorch Quick Start Guide
🆔 @Programming4all_0to100
📘Scientific Computing with Python 3
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#پایتون
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🆔 @Programming4all_0to100
📘Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book
🆔 @Programming4all_0to100
Machine Learning for Time Series Forecasting with Python (2020)
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#پایتون #یادگیری_ماشین
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A Python Data Analyst’s Toolkit_ Learn Python And Python-based Libraries With Applications In Data Analysis And Statistics
▪️What You'll Learn:
• Further your programming and analytical skills with Python
• Solve mathematical problems in calculus, and set theory and algebra with Python
• Work with various libraries in Python to structure, analyze, and visualize data
• Tackle real-life case studies using Python
• Review essential statistical concepts and use the Scipy library to solve problems in statistics
▪️Who This Book Is For: Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.
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Image Operators Image Processing in Python
#پردازش_تصویر #پایتون
🆔 @Programming4all_0to100
🌟با دوره پادشاه تری دی مکس ( #3dmax ) پرتقال توی این نرم افزار بزرگ پادشاهی کنید
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📘Django for APIs
#پایتون #Django
🆔 @Programming4all_0to100
📘Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
Author(s): Delip Rao, Brian McMahan
Publisher: O’Reilly Media, Year: 2019
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#پایتون #پردازش_زبان_طبیعی #NLP #یادگیری_عمیق
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Threat Modeling Python Web Apps Written With Flask And Django
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#پایتون #Django
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🆔 @Programming4all_0to100