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

4.7

estrellas

5,616 calificaciones

•

1,146 revisiones

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....

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?

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.

Filtrar por:

por Jonathan P

•Jan 25, 2020

I liked the course very much!

It is definitely required to know python quite well and would be good if one had a liitle bit of pre-knowledge in the field of ML / Stat or equivalent.

Everything was very well explained, the exercises had exactly the right amound of complexity and I never felt "lost" during the course.

por Shilin G

•Jul 18, 2019

I think this course is great, serves its purpose of introducing TensorFlow as a tool. For people who are looking for more in-depth knowledge of deep learning, you should go for a proper deep learning specialisation. This one is great for people who already know something about deep learning but new to TensorFlow.

por Artem D

•Jan 20, 2020

That was interesting and not hard, so you won't be afraid of coding =). I do not recommend to take this course if you have no theory base regarding NNs (in this case first complete DL specialization by deeplearning.ai). This course is high-level, expecting more of deep dive in the following courses =). Peace!

por Mathis V E

•Dec 28, 2019

For someone new to AI/ML, this is a good place to start. If you're already familiar with deep neural networks, conv nets, ect (as explained in Andrews Deep Learning specialization) this course will be a breeze, but it will teach you how to use tensorflow as intended. I did this course in about 3-4 hours.

por Dr. S P

•Apr 08, 2019

This course is well structured with very good instructional delivery. The vivid explanations and the discussion forum does not let you feel that you are alone. There are answers to almost all our doubts even before we post them in the forum. Looking forward for the next course in this series.

por Gulshan R

•Jun 06, 2019

This course was really beneficial for me. It helped me understand the concepts in more depth. The mentor helped a lot by creating notebooks of algorithms being explained. This truly helped in visualizing the features or what really is happening behind the training of the model. Thanks a lot.

por William G

•Aug 01, 2019

A rather basic course to introduce you to Tensorflow. The exercises are rather difficult due to the lack of information provided. However, the course is informational, and those who have completed the Deep Learning Specialization previously should have no trouble completing this course.

por S S N

•Oct 18, 2019

Overall , an amazing course , and possibly a fruitful use of my time.

The course was smaller than expected , but it opened my eyes to a new method of learning - Learning my trying things out - so instead of getting glued to the lecture videos , I spent most of my time trying things out

por Richard S

•Sep 15, 2019

Took this course and specialty because I have DL projects coming up. Had some background already but Laurence's treatment of material was excellent. I had seen a very positive review of one of his YouTube videos and he did not disappoint. Now I can explain ML to people much easier.

por Jörg R

•Oct 20, 2019

Really nice introduction to neural network. It gives the intuition behind TensorFlow and you quickly build simple neural networks with interesting data set. At times it does not go very deep into the underlying concepts, but great for a first glimpse into this interesting field.

por Eldar Š

•Jan 26, 2020

It was interesting course! I have finished some courses by Andrew Ng before, they were more theory focused, while this was pure tensorflow/keras practical guide. I like how fast it is, for me it was very simple, but useful to check and fill the holes in my knowledge! Thank you!

por Bhomik L

•Aug 10, 2019

This course is great for anyone who wants to learn how to make models in deep learning, visualize the models and get a feel/intuition of how things work. This course does not go into mathematic details and is recommended for anyone who wants to learn how to make basic models.

por BEDJEGHA M A

•Dec 19, 2019

This course was very helpful for me knowing that i have some level of understanding in deep learning but i have never implemented models that use neural nets or any kind of deep learning model and this was my practical gate into deep learning, so thank you very much Laurence

por Santiago F M

•Sep 04, 2019

I started other courses about AI and although they are quite good, there was "too much" mathematics to me. This course has clear examples that go directly to the matter and shows you how to use those theoretical concepts shown in other courses. I really enjoyed the course!!

por Mohammadmahdi Z

•Aug 27, 2019

I learned a lot about how the simplest networks can be implemented using Keras and TensorFlow, then I learned how to use this tool to build simple classifiers than can do a binary classification or multi-class classification task. Hope to learn more in this specialization!

por Sumandeep B

•Jul 08, 2019

Good for Introduction to TF as a powerful tool. Learn't lots of new stuff. Perfect addition to the Deep Learning Specialization by Andrew Ng. Loved the short 1-on-1 discussions between Laurence and Andrew. Looking forward to more cool stuff to learn in the other 3 courses.

por Ulugbek D

•Oct 30, 2019

I think it is a great 'light-weight' course on how to use the TF framework. Laurence does not cover the theory behind because Andrew covered them in other courses. That means that a person taking this course should have some basics about the parts that run under-the-hood.

por Eagle Y

•Jun 24, 2019

I like this intro class very much. I have some training before and I took Andrew Ng's Deep Learning Certificate. This intro course is not necessarily hard, but it actually covers quite a few areas that were not emphasized before. I highly recommend this for other people.

por Barclay B

•Dec 07, 2019

Excellent course! I highly recommend (as Andrew suggests) doing the Deep Learning specialization first, so that you learn what's really going on. This course is great as a follow on to help you learn how to do the implementation of the concepts taught in Deep Learning!

por Suprajith H

•Jun 02, 2019

Great course. Easy to follow. The example problems are very valuable. I felt the course was a little short compared to the other courses I have taken on Coursera. Nonetheless, it is a very good course if you want to understand how to code using Tensorflow framework.

por Henk M

•Dec 08, 2019

A very accessible course and very practical as well. I would recommend to study a course like Machine Learing by Andrew Ng as well to get a better understanding of the foundations of neural networks.

Teaching is great and the materials worked flawlessly. Many thanks!

por Anupriya G

•Apr 03, 2019

Excellent course to start Deep Learning with TensorFlow. Step-wise brief description gives good insight about the subject which help in building up minimum understanding required. Thank you Andew Ng, Laurence Moroney and deeplearning.ai for this wonderful course

por Jayadev B

•Jan 24, 2020

Really loved taking this course. The clarity on every explanation given by Laurence on this introductory course is phenomenal.

Laurence and Andrew - Thank you for inspiring millions and bringing in online learning to a whole new level.

Thank you,

Jayadev Bhasi

por Abdul R K

•Jan 15, 2020

This course is a very practical into to ML with TensorFlow, it focuses on live coding examples rather than a lot of theory. I highly recommend it especially if you have ML background and just looking to refresh your knowledge and explore TensorFlow and Keras.

por Phillip B

•Jun 15, 2019

Finally, a course that describes step-by-step how these networks process the data. The instructor was warm and likable. The notebooks contained documentation that aligns with the lecture. I plan on taking this course again to further concretize the learnings.

- IA para todos
- Introducción a TensorFlow
- Redes neurales y aprendizaje profundo
- Algoritmos, parte 1
- Algoritmos, parte 2
- Aprendizaje Automático
- Aprendizaje automático con Python
- Aprendizaje automático con Sas Viya
- Programación R
- Introducción a la programación con Matlab
- Análisis de datos con Python
- Aspectos básicos de AWS: El paso a la nube nativa
- Aspectos básicos de la plataforma en la nube de Google
- Ingeniería de confiabilidad del sitio
- Hablar inglés de manera profesional
- La ciencia del bienestar
- Aprendiendo a aprender
- Mercados financieros
- Prueba de hipótesis en el área de la salud pública
- Aspectos básicos del liderazgo diario

- Aprendizaje profundo
- Python para todos
- Ciencia de Datos
- Ciencias de los Datos Aplicada con Python
- Aspectos básicos de los negocios
- Arquitectura con Google Cloud Platform
- Ingeniería de datos en la plataforma en la nube de Google
- Excel para MySQL
- Aprendizaje automático avanzado
- Matemática aplicada al aprendizaje automático
- Automóviles de auto conducción
- Revolución de la cadena de bloques para la empresa
- Análisis comercial
- Habilidades de Excel aplicadas para los negocios
- mercadeo digital
- Análisis estadístico con R para el área de la salud pública
- Aspectos básicos de la inmunología
- Anatomía
- Gestión de la innovación y del pensamiento de diseño
- Aspectos básicos de la psicología positiva

- Soporte de TI de Google
- Especialista en compromiso con el cliente de IBM
- Ciencia de datos de IBM
- Administrador de proyectos aplicado
- Certificado profesional de IA aplicada de IBM
- Aprendizaje automático para análisis
- Análisis y visualización de datos espaciales
- Gestión e ingeniería de construcción
- Diseño instruccional

- Maestría en Ciencia de Datos
- Licenciatura en Ciencias de la Computación
- Títulos de Ciencias de la Computación e Ingeniería
- Maestría en Aprendizaje Automático
- Maestría en Administración de Empresas y títulos de estudios de negocios
- Maestría en Ingeniería Eléctrica
- Maestría en Salud Pública
- Maestría en Tecnología de la Información