Accessible digital edition
DIGITAL E-BOOKBachelor
EXPLORE THIS TITLE
AI and ML with TensorFlow & PyTorch
Bachelors Program in AI & ML
Explore AI and ML with TensorFlow & PyTorch as part of Bachelors Program in AI & ML. Read the syllabus and available chapters online.
Academic programmeBachelors Program in AI & ML
LevelBachelor
Reading sections16
SourceLibrary syllabus and chapters
No account needed • Read on any device
INSIDE THE BOOK
Explore the chapters.
Jump into any section and continue reading at your own pace.
01
AI and ML with TensorFlow & PyTorchSyllabus
02Foundations Of Artificial Intelligence And Machine LearningChapter 1
03Mathematical And Computational FoundationsChapter 2
04Data Preparation Feature Engineering And Tensor PipelinesChapter 3
05Classical Machine Learning And Baseline ModelsChapter 4
06Neural Networks And Representation LearningChapter 5
07Tensorflow And Pytorch Model EngineeringChapter 6
08Training Evaluation And ExperimentationChapter 7
09Computer Vision With Convolutional NetworksChapter 8
10Sequence Learning And Time Series AnalyticsChapter 9
11Attention Transformers And Generative AiChapter 10
12Unsupervised Self Supervised And Generative LearningChapter 11
13Reinforcement Learning And Sequential Decision MakingChapter 12
14Deployment Mlops And Scalable Ai SystemsChapter 13
15Responsible Ai Security And GovernanceChapter 14
16Ai Strategy Digital Transformation And Future DirectionsChapter 15