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Volver a Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Opiniones y comentarios de aprendices correspondientes a Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning por parte de deeplearning.ai

4.7
4,710 calificaciones
932 revisiones

Acerca del Curso

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Principales revisiones

AS

Mar 09, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

RD

Aug 14, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

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301 - 325 de 931 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Yash B

Jul 29, 2019

Good teaching skill

por ujjal d

Jul 28, 2019

Excellent course!!

por Rushiket D M

Jul 29, 2019

Very helpful in understanding tensorflow framework.

por Hasib Z

Jul 28, 2019

Awesome

!

por behnoud

Jul 29, 2019

thanks ,,,this course is the best course in introduction to tensorflow...thanks

por Chi ( M

Aug 03, 2019

Keras (tensorflow) is a easy tool after good understanding of the deep learning series courses.

por Juan C B R

Aug 03, 2019

Excelente metodología!. Lo recomiendo para personas que ya tengan conocimientos básicos de machine learning porque el curso va directamente a la práctica.

por Harish S

Aug 04, 2019

Good to start as a intro course. Content could have been little bit more tougher.

por Ruslan K

Aug 04, 2019

Quite smooth introduction to NN, convolutional NN, image processing. First Course of a very useful specialization.

por Tarun Y

Aug 04, 2019

easy and simple course to follow

por Lisandro O

Aug 05, 2019

Very nice course. The instructor was amazing and I have learned a lot!

por Christopher G

Aug 02, 2019

An excellent introduction to this topic. Very practical.

por José L B

Aug 03, 2019

This is a very nice course, Laurence has a way to make the course easy going and interesting, and the practical exercises are very good to begin with TensorFlow.

por Mikhail K

Aug 03, 2019

Great introduction to Tensorflow. So glad that you're using keras, which makes constructing neural networks so much faster and easier.

por Robert K

Aug 04, 2019

A good introduction to the specialization. Nothing much new for me, but a necessary intro for newcomers.

por Heidi P

Aug 03, 2019

very interesting and new information

por Mostafa G

Aug 05, 2019

Excellent course to take after completing Deep Learning Specialization

por Dora M B

Aug 05, 2019

It is a great course! The material helps you to understand the concepts.

por Marco A A d S J

Aug 05, 2019

Great content! Ideal for beginners!

por Raman M

Aug 04, 2019

i

por Sabastian J

Aug 04, 2019

Excellent practical application of tensorflow

por Rafael E

Aug 02, 2019

Excellent intro to deep learning! :-)

por Gaurav

Aug 05, 2019

Very helpful

por Jiancong C

Aug 06, 2019

The kernel was broken...so had to run the codes again on local PCs...

por zaid a

Aug 07, 2019

Extremely helpful to understand CNN