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Voltar para Generative Deep Learning with TensorFlow

Comentários e feedback de alunos de Generative Deep Learning with TensorFlow da instituição deeplearning.ai

4.8
estrelas
75 classificações
•
11 avaliações

Sobre o curso

In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image. b) Build simple AutoEncoders on the familiar MNIST dataset, and more complex deep and convolutional architectures on the Fashion MNIST dataset, understand the difference in results of the DNN and CNN AutoEncoder models, identify ways to de-noise noisy images, and build a CNN AutoEncoder using TensorFlow to output a clean image from a noisy one. c) Explore Variational AutoEncoders (VAEs) to generate entirely new data, and generate anime faces to compare them against reference images. d) Learn about GANs; their invention, properties, architecture, and how they vary from VAEs, understand the function of the generator and the discriminator within the model, the concept of 2 training phases and the role of introduced noise, and build your own GAN that can generate faces. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture, and gives them the tools to create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models....

Melhores avaliações

TM
28 de Jan de 2021

Outstanding course that deals with complex topics in Deep Learning explained in short yet precise manner and flawlessly executed.

FR
17 de Mar de 2021

Excellent course.\n\nI really appreciated to have a quiz and an assignment each week.\n\nThanks to all the contributors.

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1 — 11 de 11 Avaliações para o Generative Deep Learning with TensorFlow

por Moustafa S

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17 de Jan de 2021

really great course, it showed how VAE and AutoEncoders work, also touched on the topic of GANs, the best part was applying what's learned during the whole specialization on building difficult and complicated models from scratch.

por Tamim-Ul-Haq M

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29 de Jan de 2021

Outstanding course that deals with complex topics in Deep Learning explained in short yet precise manner and flawlessly executed.

por Francois R

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18 de Mar de 2021

Excellent course.

I really appreciated to have a quiz and an assignment each week.

Thanks to all the contributors.

por Pramit D

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19 de Abr de 2021

Excellent course. Highly recommended. Please make a separate course on GAN. Use TensorFlow instead of PyTorch

por Nikolay S

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28 de Fev de 2021

This course was fantastic! Laurence and DeepLearning.ai team did great job. Definitely recommended.

por 西川　尚之

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21 de Jan de 2021

This course is very helpful and useful !

por Socrates M

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2 de Mar de 2021

Amazing course indeed!

por Jorge S

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29 de Mar de 2021

Best content around !

por Alexander Z

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22 de Mar de 2021

Great course. Thanks!

por Yap C H

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21 de Fev de 2021

Clear explanation on all generative methods. However, I find it too short. The course can be longer and include more generative methods.

por Renjith B

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1 de Mai de 2021

Really good content covering the surface of lot of advanced topics.

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