Hands-On Neural Networks with Keras

NeuralnetworksareusedtosolveawiderangeofproblemsindifferentareasofAIanddeeplearning.Hands-OnNeuralNetworkswithKeraswillstartwithteachingyouaboutthecoreconceptsofneuralnetworks.Youwilldelveintocombiningdifferentneuralnetworkmodelsandworkwithreal-worldusecases,includingcomputervision,naturallanguageunderstanding,syntheticdatageneration,andmanymore.Movingon,youwillbecomewellversedwithconvolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM)networks,autoencoders,andgenerativeadversarialnetworks(GANs)usingreal-worldtrainingdatasets.WewillexaminehowtouseCNNsforimagerecognition,howtousereinforcementlearningagents,andmanymore.Wewilldiveintothespecificarchitecturesofvariousnetworksandthenimplementeachoftheminahands-onmannerusingindustry-gradeframeworks.Bytheendofthisbook,youwillbehighlyfamiliarwithallprominentdeeplearningmodelsandframeworks,andtheoptionsyouhavewhenapplyingdeeplearningtoreal-worldscenariosandembeddingartificialintelligenceasthecorefabricofyourorganization.