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Customising your models with TensorFlow 2(으)로 돌아가기

임페리얼 칼리지 런던의 Customising your models with TensorFlow 2 학습자 리뷰 및 피드백

4.8
별점
153개의 평가

강좌 소개

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models. You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills. At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop a custom neural translation model from scratch. TensorFlow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of TensorFlow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course follows on directly from the previous course Getting Started with TensorFlow 2. The additional prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP, CNN, RNN, ResNet), and concepts such as transfer learning, data augmentation and word embeddings....

최상위 리뷰

NN

2022년 7월 23일

I love the way the course is constructed. Every concept is tested in a lab and you have a well organized assignment in the end of each week. Great course. I learned a lot.

DN

2020년 8월 4일

The lectures are clear and the coding assignments are very relevant and practical. The final project is complex but it is very rewarding once you complete it.

필터링 기준:

Customising your models with TensorFlow 2의 62개 리뷰 중 26~50

교육 기관: Nguyen T S

2022년 5월 23일

h​ighly recommend for everyone. The course and material is well designed will help you gain insight from Tensorflow and ML project workflow.

교육 기관: Camilo P

2022년 7월 18일

As well as the first course in the specialization, this is full of insightful content and challenging assignments. Totally recommended!

교육 기관: Ashit G

2021년 8월 13일

Great Course, Got a lot to learn. Few things can be presented well especially in the 3rd the 4th week lab. Rest everything is good.

교육 기관: Álvaro O F

2021년 1월 8일

Amazing course, amazing specialization. I've always been afraid of Tensorflow, but thanks to this course that has totally changed.

교육 기관: Yevhen D

2021년 4월 7일

I recumbent this course.

A lot of practice: notebooks, assessments, capstone project and just enough theory about TensorFlow

교육 기관: Fabio K

2020년 12월 29일

Excellent. This course is an extension of the 'Getting started with TensorFlow 2'. Highly recommended.

교육 기관: Ehud A

2022년 1월 24일

Great course, really helped me getting a much more insightful view to an important package.

교육 기관: James S

2020년 11월 25일

Excellent Course. I had to go through the lectures one more time to complete the project.

교육 기관: Wong H S

2020년 11월 2일

Awesome content! The practical knowledge does help me in my FYP research, thanks a lot.

교육 기관: Bean L

2022년 7월 24일

It would be better if related readings can contain some of the background knowledge.

교육 기관: fan c

2021년 3월 28일

Very good! Fully learn the TF Framework customization skills to release creativity.

교육 기관: Anwar R

2022년 1월 9일

Great follow up for the first course by going deeper to Tensorf Flow 2.0

교육 기관: Goh K L

2022년 1월 3일

Good course to build on the foundational knowledge of the first course.

교육 기관: Rajendra A

2021년 7월 16일

Excellent course materials, videos, lab sessions and capstone project.

교육 기관: Ashen I H

2022년 3월 17일

very well orgainized learning materials and good explanations!

교육 기관: Chanseok K

2020년 12월 15일

Great lecture for enhancing your tensorflow implementation

교육 기관: Renato K (

2020년 12월 23일

Really good course!!! :) Thanks for your support!!!

교육 기관: Fernando S

2020년 12월 14일

Awesome course, the best tensorflow advanced course

교육 기관: Hazem A

2020년 12월 24일

Great Course .. one of the best in TF practices ..

교육 기관: akshaykiranjose

2022년 6월 22일

bravissimo, a really good intro to advanced TF

교육 기관: Gustavo X A M

2021년 2월 22일

Great experience, excellent material....

교육 기관: Ragul N

2021년 1월 11일

Assignments were challenging but doable.

교육 기관: Meng O L

2021년 2월 24일

Excellent! Good learning material

교육 기관: Jeffrey B

2021년 1월 27일

Great course, I learned a lot!

교육 기관: Jac G

2021년 5월 25일

Dr. Kevin Webster thank you.