MASTERING DEEP LEARNING FUNDAMENTALS WITH PYTHON: The Ultimate Guide for Beginners To Expert & Step By Step
- Length: 202 pages
- Edition: 1
- Language: English
- Publication Date: 2022-03-07
- ISBN-10: B09V33RM14
- Sales Rank: #588978 (See Top 100 Books)
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https://kanchisilksarees.com/3xi4adwc https://www.psychiccowgirl.com/ca64vfg One of the best-selling Mastering Deep Learning 2022 book within the world. A fast-paced, no-nonsense guide to programming in Python. Updated and thoroughly revised to reflect the newest in Programming Concepts and practices.
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This book, designed for anyone wishing to be told Deep Learning. follow This book presents the most techniques: deep neural networks, able to model all types of knowledge, convolution networks, and ready to classify images, segment them and see the objects or folks that are there, recurring networks, it contains sample code so the reader can easily test and run the programs.
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- Deep learning
- Neural Networks and Deep Learning
- Deep Learning Parameters and Hyper-parameters
- Deep Neural Networks Layers
- Deep Learning Activation Functions
- Convolutional Neural Network
- Python Data Structures
- Best practices in Python and Zen of Python
- Installing Python
- Python
https://www.anonpr.net/xyj1s424pc These are a number of the topics covered during this book:
- Fundamentals of deep learning
- Fundamentals of probability
- Fundamentals of statistics
- Fundamentals of algebra
- Introduction to machine learning and deep learning
- Fundamentals of machine learning
- Fundamentals of neural networks and deep learning
- Deep learning parameters and hyper-parameters
- Deep neural networks layers
- Deep learning activation functions
- Conventional neural network
- Deep learning in practice (in Jupiter notebooks)
- Python data structures
- Best practices in python and Zen of python
- Installing python
https://lavozdelascostureras.com/p6ebgqi The following are the objectives of this book:
- To help you understand deep learning intimately
- To help you recognize the way to start with deep learning in Python by fixing the coding environment.
- To help you transition from a deep learning Beginner to an expert.
- To help you find out how to develop a whole and functional artificial neural network model in Python on your own. And more
PART I: FUNDAMENTALS OF DEEP LEARNING
FUNDAMENTALS OF PROBABILITY
FUNDAMENTALS OF STATISTICS
FUNDAMENTALS OF LINEAR ALGEBRA
INTRODUCTION TO MACHINE LEARNING AND DEEP LEARNING
FUNDAMENTALS OF MACHINE LEARNING
FUNDAMENTALS OF NEURAL NETWORKS AND DEEP LEARNING
DEEP LEARNING PARAMETERS AND HYPER-PARAMETERS
DEEP NEURAL NETWORKS LAYERS
DEEP LEARNING ACTIVATION FUNCTIONS
CONVOLUTIONAL NEURAL NETWORK
PART II: DEEP LEARNING IN PRACTICE (IN JUPYTER NOTEBOOKS)
PYTHON DATA STRUCTURES
BEST PRACTICES IN PYTHON AND ZEN OF PYTHON
INSTALLING PYTHON
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