| LDR | | 05216cmm u2200625Mi 4500 |
| 001 | | 000000312398 |
| 003 | | OCoLC |
| 005 | | 20230525152154 |
| 006 | | m d |
| 007 | | cr cnu---unuuu |
| 008 | | 180609s2018 enk o 000 0 eng d |
| 020 | |
▼a 9781789539226
▼q (electronic bk.) |
| 020 | |
▼a 1789539226
▼q (electronic bk.) |
| 035 | |
▼a 1823658
▼b (N$T) |
| 035 | |
▼a (OCoLC)1039685742 |
| 037 | |
▼a 72F7C430-C099-40BD-9644-E691CF997AFB
▼b OverDrive, Inc.
▼n http://www.overdrive.com |
| 040 | |
▼a EBLCP
▼b eng
▼e pn
▼c EBLCP
▼d MERUC
▼d IDB
▼d CHVBK
▼d OCLCO
▼d OCLCF
▼d NLE
▼d TEFOD
▼d OCLCQ
▼d LVT
▼d N$T
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA76.76.A65
▼b C374 2018eb |
| 072 | 7 |
▼a COM
▼x 018000
▼2 bisacsh |
| 072 | 7 |
▼a COM
▼x 051230
▼2 bisacsh |
| 082 | 04 |
▼a 005.1
▼2 23 |
| 100 | 1 |
▼a Capelo, Luis. |
| 245 | 10 |
▼a Beginning Application Development with TensorFlow and Keras :
▼b Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications. |
| 260 | |
▼a Birmingham :
▼b Packt Publishing,
▼c 2018. |
| 300 | |
▼a 1 online resource (148 pages) |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 505 | 0 |
▼a B11423_Cover_Hires; C09584_Book_Ebook; Preface; Introduction to Neural Networks and Deep Learning; What are Neural Networks?; Successful Applications; Why Do Neural Networks Work So Well?; Limitations of Deep Learning; Common Components and Operations of Neural Networks; Configuring a Deep Learning Environment; Software Components for Deep Learning; Python 3; TensorFlow; Keras; TensorBoard; Jupyter Notebooks, Pandas, and NumPy; Activity 1 -- Verifying Software Components; Exploring a Trained Neural Network; MNIST Dataset; Activity 2 -- Exploring a Trained Neural Network; Summary. |
| 505 | 8 |
▼a Model ArchitectureChoosing the Right Model Architecture; Common Architectures; Convolutional Neural Networks; Recurrent Neural Networks; Generative Adversarial Networks; Deep Reinforcement Learning; Data Normalization; Z-score; Point-Relative Normalization; Maximum and Minimum Normalization; Structuring Your Problem; Activity 3 -- Exploring the Bitcoin Dataset and Preparing Data for Model; Using Keras as a TensorFlow Interface; Model Components; Activity 4 -- Creating a TensorFlow Model Using Keras; From Data Preparation to Modeling; Training a Neural Network; Reshaping Time-Series Data. |
| 505 | 8 |
▼a Making PredictionsOverfitting; Activity 5 -- Assembling a Deep Learning System; Summary; Model Evaluation and Optimization; Model Evaluation; Problem Categories; Loss Functions, Accuracy, and Error Rates; Using TensorBoard; Implementing Model Evaluation Metrics; Evaluating the Bitcoin Model; Overfitting; Model Predictions; Interpreting Predictions; Activity 6 -- Creating an Active Training Environment; Hyperparameter Optimization; Layers and Nodes -- Adding More Layers; Adding More Nodes; Layers and Nodes -- Implementation; Epochs; Epochs -- Implementation; Activation Functions; Linear (Identity). |
| 505 | 8 |
▼a Hyperbolic Tangent (Tanh)Rectified Linear Unit; Activation Functions -- Implementation; Regularization Strategies; L2 Regularization; Dropout; Regularization Strategies -- Implementation; Optimization Results; Activity 7 -- Optimizing a Deep Learning Model; Summary; Productization; Handling New Data; Separating Data and Model; Data Component; Model Component; Dealing with New Data; Re-Training an Old Model; Training a New Model; Activity 8 -- Dealing with New Data; Deploying a Model as a Web Application; Application Architecture and Technologies; Deploying and Using Cryptonic. |
| 505 | 8 |
▼a Activity 9 -- Deploying a Deep Learning ApplicationSummary; Index. |
| 520 | |
▼a By the end of the course, you'll build a Bitcoin application that predicts the future price, based on historic, and freely available information. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a Master record variable field(s) change: 050, 072 |
| 650 | 0 |
▼a Application software
▼x Development. |
| 650 | 0 |
▼a Computers
▼x Data processing. |
| 650 | 7 |
▼a COMPUTERS / Data Processing.
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Software Development & Engineering / General.
▼2 bisacsh |
| 650 | 7 |
▼a Computers
▼x Programming
▼x General.
▼2 bisacsh |
| 650 | 7 |
▼a Computers
▼x Programming
▼x Algorithms.
▼2 bisacsh |
| 650 | 7 |
▼a Computer programming
▼x software development.
▼2 bicssc |
| 650 | 7 |
▼a Algorithms & data structures.
▼2 bicssc |
| 650 | 7 |
▼a Computers
▼x Programming Languages
▼x Python.
▼2 bisacsh |
| 650 | 7 |
▼a Programming & scripting languages: general.
▼2 bicssc |
| 650 | 7 |
▼a Application software
▼x Development.
▼2 fast
▼0 (OCoLC)fst00811707 |
| 650 | 7 |
▼a Computers
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst00872804 |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Capelo, Luis.
▼t Beginning Application Development with TensorFlow and Keras : Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications.
▼d Birmingham : Packt Publishing, 짤2018 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1823658 |
| 938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL5405687 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1823658 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |