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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 51~62

교육 기관: Javier G

2021년 9월 15일

A challenging course!!

교육 기관: Ho P D

2021년 6월 30일

Nice and comprehensive

교육 기관: Aleksander M

2020년 10월 26일

Amazing course!

교육 기관: Marios K

2020년 11월 20일

Nice course :)

교육 기관: Nguyen B L

2021년 4월 23일

Great course

교육 기관: Diego A A R

2021년 4월 8일

Very usefull

교육 기관: Natthakorn K

2021년 9월 10일

Great!

교육 기관: Rob S

2020년 10월 22일

Interesting course. However, I didn't find the videos as clear as Course 1.

교육 기관: Anup K

2021년 6월 10일

Excellent Course .. but with difficult passing levels.

교육 기관: Shaokai Z

2022년 5월 16일

The content of the instructions seems unstructued. The introduction of every lessons lasts only a few minuts. The coding tutorials offered by the GTAs are neither insightful nor explanatory, where the learners are simply required to type along. Theere are also consistency issues the way the code, so that many manners can be confusing for beginners.

The assignments are not designed with the resources in mind in that, some of them require an increadibly long time to train, unless it's migrated into colab, where other issues like loading pretrained models and datasets need to be taken care of. Also, the instructions are at times vague, and the problems can only be seen once graded. No or not enough efforts were made for step by step checks and guides to help the student.

Personally, I would recommend the deep learning specialization from deeplearning.ai, which is organized way better.

교육 기관: Max K

2021년 1월 31일

Never recieved my grade. Contacted coursera support. They demanded another motnh of payment for the course or else I will not get my grade. Terrible practice and this is used to punish people that finish their course early since coursera will simply wait until you pay another month before the start grading your paper!

교육 기관: Jaesub S

2021년 3월 30일

The course is not maintained. Do not waste your money. Many of the assignments are impossible to finish due to the broken grader and lack of support.