Ukufunda Okujulile
( 25 Amamojula )

module #1
Isingeniso Sokufunda Okujulile
Uhlolojikelele lokufunda okujulile, umlando, nezinhlelo zokusebenza

module #2
Izimfuneko Zezibalo
Ukubuyekezwa kwe-algebra yomugqa, i-calculus, kanye nethiyori yamathuba

module #3
Neural Networks Basics
Isingeniso kumanethiwekhi emizwa yokwenziwa, ama-perceptrons, kanye ne-multilayer perceptrons

module #4
Imisebenzi Yokwenza Kusebenze Nokusakazwa Kwasemuva
Imisebenzi yokuvula, i-backpropagation, nokwehla kwe-gradient

module #5
I-Building and Training Neural Networks
Isipiliyoni sezandla ngokwakha kanye ukuqeqesha amanethiwekhi ezinzwa kusetshenziswa uhlaka lokufunda olujulile

module #6
I-Convolutional Neural Networks (CNNs)
Isingeniso kuma-CNNs, izendlalelo ze-convolutional, nezingqimba zokuhlanganisa

module #7
CNN Architectures
AlexNet, VGGNet, GoogLeNet, ne-ResNet izakhiwo

module #8
Transfer Learning and Fine-tuning
Usebenzisa amamodeli e-CNN aqeqeshwe ngaphambilini kanye nokulungisa kahle imisebenzi yokuhlukanisa izithombe

module #9
Recurrent Neural Networks (RNNs)
Isingeniso kuma-RNN, ama-RNN alula, kanye namanethiwekhi e-LSTM

module #10
RNN Architectures
GRU, Bidirectional RNNs, kanye namamodeli we-Encoder-Decoder

module #11
Amamodeli Okulandelana-kuya-Ukulandelana
Ukuhumusha komshini, ama-chatbots, namamodeli okulandelana-kuya-kulandelana

module #12
Amamodeli akhiqizayo
Isingeniso kumamodeli akhiqizayo, ama-GAN, nama-VAE

module #13
Ama-Autoencoder kanye nama-Autoencoder ahlukahlukene
Ukwehliswa kwe-Dimensionality, ama-autoencoder, nama-VAEs

module #14
Generative Adversarial Networks (GANs)
Ama-GAN, ama-DCGAN, nama-GAN anemibandela

module #15
I-Deep Reinforcement Learning
Isingeniso sokuqinisa ukufunda, ukufunda nge-Q, kanye nama-gradients enqubomgomo

module #16
I-Deep Reinforcement Learning Algorithms
DDPG, Izindlela Zokugxeka Umlingisi, kanye ne-AlphaGo

module #17
Ukufunda Nokuhlanganisa Okungagadiwe
K-isho, ukuhlanganisa ngokwezigaba, kanye nokunciphisa ubukhulu

module #18
Ukufunda Okujulile Kokucubungula Ulimi Lwemvelo
Ukushumeka kwamagama, amamodeli olimi, nokuhlukaniswa kombhalo

module #19
Izindlela Zokunaka
Ukunakwa ku-NLP, ama-transformer, kanye ne-BERT

module #20
Ukufunda Okujulile Kombono Wekhompyutha
Ukutholwa kwento, ukuhlukaniswa, nokulandelela

module #21
Ama-Deep Learning Frameworks
TensorFlow, PyTorch, kanye ne-Keras

module #22
Ukuhlola Imodeli Nokushuna Kwepharamitha
Amamethrikhi okuhlola imodeli, ukushuna kwe-hyperparameter, nokuqinisekisa okuphambene

module #23
Ukuthunyelwa Kokufunda Okujulile Nokukhiqiza
Ukuthunyelwa kwemodeli, ukuhlinzeka ngemodeli, nokukhiqizwa

module #24
Izimiso Zokuziphatha Nokulunga Ekufundeni Okujulile
Ukucatshangelwa kokuziphatha, ukuchema, nokungenzeleli kumamodeli okufunda ajulile

module #25
Ukugoqwa Kwezifundo & Isiphetho
Ukuhlela izinyathelo ezilandelayo emsebenzini Wokufunda Okujulile

Umsizi Wokufunda Ulimi
Ngosekelo Lwezwi

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Ukufunda Okujulile ( 25 Amamojula )

Umsizi Wokufunda UlimiNgosekelo Lwezwi

Ukufunda Okujulile
( 25 Amamojula )

Umsizi Wokufunda Ulimi
Ngosekelo Lwezwi