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Comentários e feedback de alunos de Introduction to Deep Learning da instituição National Research University Higher School of Economics

4.6
estrelas
1,657 classificações
383 avaliações

Sobre o curso

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image. The prerequisites for this course are: 1) Basic knowledge of Python. 2) Basic linear algebra and probability. Please note that this is an advanced course and we assume basic knowledge of machine learning. You should understand: 1) Linear regression: mean squared error, analytical solution. 2) Logistic regression: model, cross-entropy loss, class probability estimation. 3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions. 4) The problem of overfitting. 5) Regularization for linear models. Do you have technical problems? Write to us: coursera@hse.ru...

Melhores avaliações

DK
19 de Set de 2019

one of the excellent courses in deep learning. As stated its advanced and enjoyed a lot in solving the assignments. looking forward for more such courses especially in Natural language processing

AM
28 de Mai de 2020

The hardest, yet most satisfying course I've ever taken in deep learning, by the end of the course I was doing stuff that was borderline sci-fi and that was just "introduction" to deep learning

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376 — 383 de 383 Avaliações para o Introduction to Deep Learning

por Roberto M P

27 de Jan de 2018

The lecturer is really bad, he is not clear and his explanations are shallow and vague.

por Xiaowei X

11 de Ago de 2019

The instructions are often unclear and the ipynb files often does not even run.

por 史永新

17 de Jun de 2020

the test is too difficult to make me give up

por Herbert D

4 de Mar de 2018

This has to be the worst course on Coursera.

por Jiahua F

13 de Out de 2020

The code in github doesn't work

por NIMA S

6 de Set de 2020

The English is terrible!

por Philip P

3 de Nov de 2019

Out dated

por ADEL S A A

11 de Jun de 2020

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