TensorFlow 2 for Deep Learning
Master advanced deep learning with TensorFlow 2, from fundamentals to probabilistic models and custom architectures.
Master advanced deep learning with TensorFlow 2, from fundamentals to probabilistic models and custom architectures.
This specialization provides comprehensive training in TensorFlow 2, covering model building, customization, and probabilistic deep learning. Students progress from fundamental concepts through advanced topics like Bayesian neural networks and generative models, with hands-on projects in image classification, language translation, and uncertainty quantification.
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বাংলা, Tiếng Việt, پښتو, 3 more
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What you'll learn
Build and train deep learning models with TensorFlow 2
Implement custom model architectures and layers
Develop probabilistic neural networks
Create image classification and translation systems
Implement uncertainty quantification in models
Build generative models for images and text
Skills you'll gain
This course includes:
105 Hours PreRecorded video
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FullTime access
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There are 3 courses in this program
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Course 1 · 13 Hours to complete · 3 modules
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Course 2 · 29 Hours to complete · 4 modules
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