Chevron Left
Volver a Generative Deep Learning with TensorFlow

Opiniones y comentarios de aprendices correspondientes a Generative Deep Learning with TensorFlow por parte de deeplearning.ai

4.8
estrellas
186 calificaciones

Acerca del 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....

Principales reseñas

LV

17 de mar. de 2022

Excellent course - Indepth knowledge delivered by one of the top-developers in an engaginand challenging manner. Superb. Would definitely recommend.

TM

28 de ene. de 2021

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

Filtrar por:

1 - 25 de 31 revisiones para Generative Deep Learning with TensorFlow

por Tamim-Ul-Haq M

29 de ene. de 2021

por Francois R

18 de mar. de 2021

por Yap C H

21 de feb. de 2021

por Renjith B

1 de may. de 2021

por Ernest W

25 de nov. de 2021

por Moustafa S

17 de ene. de 2021

por Rajendra A

23 de jul. de 2021

por luis v

18 de mar. de 2022

por lonnie

23 de jun. de 2021

por Rashmi S

25 de abr. de 2022

por Walter A N

24 de nov. de 2021

por Pramit D

19 de abr. de 2021

por Nikolay S

28 de feb. de 2021

por Pandey V

19 de ago. de 2022

por 秦时

3 de abr. de 2022

por 西川 尚之

21 de ene. de 2021

por Parma R R

22 de abr. de 2022

por Alexander A

29 de nov. de 2021

por Socrates M

2 de mar. de 2021

por Jorge S

29 de mar. de 2021

por Alexander Z

22 de mar. de 2021

por CARLOS A L F

25 de ago. de 2022

por Shiva S B

16 de ago. de 2021

por Merlin S (

9 de jul. de 2021

por Vikum C

2 de jun. de 2021