가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
HANDS-ON PYTHON DEEP LEARNING FOR THE WEB;INTEGRATING NEURAL NETWORK ARCHITECTURES TO BUILD SMART WEB APPS WITH FLASK, DJANGO, AND [electronic resource].
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | ANUBHAV SINGH;SAYAK PAUL. |
| 서명/저자사항 | HANDS-ON PYTHON DEEP LEARNING FOR THE WEB;INTEGRATING NEURAL NETWORK ARCHITECTURES TO BUILD SMART WEB APPS WITH FLASK, DJANGO, AND[electronic resource]. |
| 발행사항 | [S.l.] : PACKT PUBLISHING, 2020. |
| 형태사항 | 1 online resource |
| 소장본 주기 | Master record variable field(s) change: 050, 082, 630, 650 - OCLC control number change |
| ISBN | 1789953790 9781789953794 |
| 내용주기 | Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Dedication -- Preface -- Table of Contents -- Section 1: Artificial Intelligence on the Web -- Chapter 1: Demystifying Artificial Intelligence and Fundamentals of Machine Learning -- Introduction to artificial intelligence and its types -- Factors responsible for AI propulsion -- Data -- Advancements in algorithms -- Advancements in hardware -- The democratization of high-performance computing -- ML -- the most popular form of AI -- What is DL? -- The relation between AI, ML, and DL Revisiting the fundamentals of ML -- Types of ML -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Semi-supervised learning -- Necessary terminologies -- Train, test, and validation sets -- Bias and variance -- Overfitting and underfitting -- Training error and generalization error -- A standard ML workflow -- Data retrieval -- Data preparation -- Exploratory Data Analysis (EDA) -- Data processing and wrangling -- Feature engineering and extraction/selection -- Modeling -- Model training -- Model evaluation -- Model tuning -- Model comparison and selection Deployment and monitoring -- The web before and after AI -- Chatbots -- Web analytics -- Spam filtering -- Search -- Biggest web-AI players and what are they doing with AI -- Google -- Google Search -- Google Translate -- Google Assistant -- Other products -- Facebook -- Fake profiles -- Fake news and disturbing content -- Other uses -- Amazon -- Alexa -- Amazon robotics -- DeepLens -- Summary -- Section 2: Using Deep Learning for Web Development -- Chapter 2: Getting Started with Deep Learning Using Python -- Demystifying neural networks -- Artificial neurons -- Anatomy of a linear neuron Anatomy of a nonlinear neuron -- A note on the input and output layers of a neural network -- Gradient descent and backpropagation -- Different types of neural network -- Convolutional neural networks -- Recurrent neural networks -- Feeding the letters to the network -- Initializing the weight matrix and more -- Putting the weight matrices together -- Applying activation functions and the final output -- Exploring Jupyter Notebooks -- Installing Jupyter Notebook -- Installation using pip -- Installation using Anaconda -- Verifying the installation -- Jupyter Notebooks Setting up a deep-learning-based cloud environment -- Setting up an AWS EC2 GPU deep learning environment -- Step 1: Creating an EC2 GPU-enabled instance -- Step 2: SSHing into your EC2 instance -- Step 3: Installing CUDA drivers on the GPU instance -- Step 4: Installing the Anaconda distribution of Python -- Step 5: Run Jupyter -- Deep learning on Crestle -- Other deep learning environments -- Exploring NumPy and pandas -- NumPy -- NumPy arrays -- Basic NumPy array operations -- NumPy arrays versus Python lists -- Array slicing over multiple rows and columns -- Assignment over slicing -- Pandas |
| 요약 | This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also integrate them with different web stack front-ends. |
| 주제명(통일서명) | Django (Electronic resource) Django (Electronic resource)fast |
| 일반주제명 | Python (Computer program language) Web applications. Application software -- Development. Web site development. Application software -- Development. Python (Computer program language) Web applications. Web site development. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Singh, AnubhavHands-On Python Deep Learning for the Web : Integrating Neural Network Architectures to Build Smart Web Apps with Flask, Django, and TensorFlowBirmingham : Packt Publishing, Limited,c2020 |
| 대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2478486 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00018663 | 005.133 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
