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Avis et commentaires pour d'étudiants pour Getting started with TensorFlow 2 par Imperial College London

4.9
étoiles
463 évaluations
153 avis

À propos du cours

Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading 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 an image classifier deep learning 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 is intended for both users who are completely new to Tensorflow, as well as users with experience in Tensorflow 1.x. The 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/feedforward and convolutional neural networks), activation functions, output layers, and optimisation....

Meilleurs avis

MM

24 janv. 2021

I already knew the subject, so I was able to go fast, but I really loved the completeness of this course, the approach, the tests, and the capstone project. Basically everything. Very good indeed!

AA

17 mars 2021

Provided clear and useful insight into TensorFlow 2. Before the course I had read many of the TF2 guides and tutorials. This course helped solidify my understanding of core TF concepts.

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151 - 157 sur 157 Avis pour Getting started with TensorFlow 2

par Daniel J

19 août 2020

Decent overview of the TensorFlow API but does get a little boring after a while. Would be nice to have some discussion of how to design models using the lecture content.

par brunocontreras

15 juil. 2021

R​eally good practical course on image analysis with TF. Make sure you know the basics ahead as the main concepts are not explained, just put into practice.

par Evan

6 janv. 2022

Nice course, the lecturers taught in a very intuitative way. However the Discussion forum is dead, no support from team

par Harish G

1 sept. 2020

Very nicely designed hands on learning course, suggested for all machine learning and tensor flow starters

par Dziem N

22 juin 2020

The programming examples are very helpful. Thank you...

par Ahasanul B H

13 juil. 2020

Superb Introduction to Tensorflow

par Alex W

19 mai 2022

S​omething seemed off with the course, there was a quiz that covered information I'd never seen in the videos. They breezed right through very important foundational concepts, assuming you already knew about them.