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Вернуться к Deep Neural Networks with PyTorch

Отзывы учащихся о курсе Deep Neural Networks with PyTorch от партнера IBM

Оценки: 1,131
Рецензии: 250

О курсе

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered. Learning Outcomes: After completing this course, learners will be able to: • explain and apply their knowledge of Deep Neural Networks and related machine learning methods • know how to use Python libraries such as PyTorch for Deep Learning applications • build Deep Neural Networks using PyTorch...

Лучшие рецензии


29 апр. 2020 г.

An extremely good course for anyone starting to build deep learning models. I am very satisfied at the end of this course as i was able to code models easily using pytorch. Definitely recomended!!


15 мая 2020 г.

This is not a bad course at all. One feedback, however, is making the quizzes longer, and adding difficult questions especially concept-based one in the quiz will be more rewarding and valuable.

Фильтр по:

126–150 из 252 отзывов о курсе Deep Neural Networks with PyTorch

автор: Vaseekaran V

23 окт. 2020 г.

Really great intro to PyTorch. Well explained the basics of Deep Learning along with PyTorch.

автор: Aryal G

9 авг. 2020 г.

this is no doubt THE BEST and the most well thought pytorch and deep learning course so far .

автор: Andres I C R

9 янв. 2021 г.

Really good structured with very clear explanation of the math behind the different topics

автор: Theophile T

25 февр. 2021 г.

It was my first experience programming in PyTorch and I was amazed.

автор: Sourabh K

26 июня 2021 г.

One of the best course in the IBM AI Engineer Specialization !

автор: Emanuel N

13 февр. 2021 г.

Gran curso super detallista y explica muy bien los conceptos

автор: Milad E N

19 дек. 2020 г.

it goes through neural network and builds it from scratch.

автор: Shivam K

2 февр. 2022 г.

Good course to know about neural networks with pytorch


21 июня 2022 г.

This is what I need for deep learning amazing course.

автор: Huy P

5 мар. 2021 г.

This course is basic and so foundational for begining

автор: Charan B R

10 мая 2022 г.

Well Paced!! Great Course for the intermediate level

автор: Hasan G

21 авг. 2020 г.

I have learned good skills for deep neural networks

автор: 林靖翰

30 июля 2021 г.

The teaching of this course is clear and complete

автор: Azzam A

25 мар. 2022 г.

Best course for Neural Network using PyTorch

автор: Krittamet K

23 мая 2021 г.

Much more understand how deep neural works!!

автор: Luis C

17 авг. 2020 г.

best introduction course on the subject.

автор: ilovecats

29 апр. 2021 г.

awesome, this is like 2 courses in one

автор: Arijit B

28 февр. 2021 г.

An excellent introduction to PyTorch.

автор: Oscar A C B

10 июня 2020 г.

Excellent! Just what I needed.

автор: Luis C M R

21 февр. 2022 г.

Really detailed and clear

автор: Abdoulaye B

6 нояб. 2020 г.

The content was on point.

автор: Sujan N

14 февр. 2022 г.

Good for beginners

автор: Lixy

10 авг. 2021 г.

easy to understand

автор: Amir J

12 авг. 2020 г.

Amazing course!

автор: arash h

30 нояб. 2021 г.

perfect course