Quality Score
Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/
Overall Score : 86 / 100
Live Chat with CourseDuck's Co-Founder for Help
Need help deciding on a artificial intelligence course? Or looking for more detail on Evgeny Sokolov's Introduction to Deep Learning? Feel free to chat below.
Join CourseDuck's Online Learning Discord Community
Course Description
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
Instructor Details
- 4.3 Rating
- 136 Reviews
Evgeny Sokolov
Evgeny Sokolov graduated from Moscow State University in 2013 with a computer science degree. Evgeny is a lead data scientist at Yandex.Zen - personal recommendations service created by Yandex, russian search giant. Evgeny is also a senior lecturer and deputy head of Big Data and Information Retrieval department at Higher School of Economics - one of Russia's top universities, where he reads courses on machine learning and helps to introduce data science courses into all B.Sc. programs.