000 | 01352nam a22001697a 4500 | ||
---|---|---|---|
008 | 230913b |||||||| |||| 00| 0 eng d | ||
020 | _a9781119543046 | ||
082 |
_a006.31 _bMUE |
||
100 | _aMueller, John Paul | ||
245 | _aDeep Learning for Dummies | ||
260 |
_bJohn Wiley & Sons, Inc. _c2019 _aUSA |
||
300 | _a350p | ||
500 | _aIntroduction Part – 1: Discovering Deep Learning Introducing Deep Learning Introducing the Machine Learning Principles Getting and Using Python Leveraging Deep Learning Framework Part – 2: Considering Deep Learning Basics Reviewing Matrix Math and Optimization Laying Linear Regression Foundations Building a Basic Neural Network Moving to Deep Learning Explaining Convolutional Neural Networks Introducing Recurrent Neural Networks Part – 3: Interacting with Deep Learning Performing Image Classification Learning Advanced CNNs Working on Language Processing Generating Music and Visual Art Building Generative Adversarial Networks Playing with Deep Reinforcement Learning Part – 4: The Part of Tens Ten Applications that Require Deep Learning Ten Must Have Deep Learning Tools Ten Types of Occupations that Use Deep Learning Index | ||
600 | _aComputer Engineering | ||
700 |
_aMassaron, Luca _993492 |
||
942 |
_2ddc _cLB _m006.31 _kMUE |
||
999 |
_c146382 _d146382 |