| Lesson Code | Course Name | Class | Credit | Lesson Time | Weekly Lesson Hours (Theoretical) | Weekly Lesson Hours (Practice) | Weekly Class Hours (Laboratory) |
|---|---|---|---|---|---|---|---|
| DOT4344 | Basics Of Deep Learning | төртінші курс | 5 | 150 | 1 | 2 | 2 |
The purpose of the discipline to study the methods of "deep learning", which are a new link of neural network methods of machine learning. First of all, the course is aimed at developing students ' skills in solving applied problems using deep neural networks.
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Algorithms and Programming
Narrative, exchange of views, discussion, problem methods.
| 1 | Learns to create artificial intelligence, video recognition and image processing and natural language projects. |
| 2 | Works with machine learning and Deep Learning Algorithms Using Python. |
| 3 | Can process results using a deep learning model using Python libraries. |
| 4 | Learns how to create a data set, pre-process data, and use it in deep learning algorithms. |
| 5 | Plans experimental research, interpreting the results obtained on the basis of modern methods and computer technologies. |
| 6 | Using the TensorFlow and Keras libraries in the Python programming language, it uses the solution of specific problems in practical research. |
| Haftalık Konu | Evaluation Method | |
|---|---|---|
| 1 | Introduction to artificial intelligence. | |
| 2 | Introduction to deep learning. | |
| 3 | Deep neural networks. Fundamentals of convolutional neural networks. | |
| 4 | Recursive neural network. Bidirectional recursive neural networks. | |
| 5 | Artificial neural networks. | |
| 6 | Natural language processing. | |
| 7 | Types of machine learning algorithms. | |
| 8 | Supervised, unsupervised and semi-supervised learning. | |
| 9 | Deep learning strategy. | |
| 10 | Full cycle of deep learning project. | |
| 11 | Algorithms used in deep learning. | |
| 12 | Linear neural networks. | |
| 13 | Automatic text grouping. | |
| 14 | Practical problems of processing (text, speech, etc.).), methods, their solution. | |
| 15 | Creative project work and competitions. |
| PÇ1 | PÇ2 | PÇ3 | PÇ4 | PÇ5 | PÇ6 | PÇ7 | PÇ8 | PÇ9 | PÇ10 | PÇ11 | PÇ12 |
|---|
| Textbook / Material / Recommended Resources | ||
|---|---|---|
| 1 | Баймұхамедов М.Ф,Баймұхамедова А.М, Боранбаев С.Н., Жасанды интеллект: Қазіргі заманғы теория және тәжірибе. Алматы, 2020. | |
| 2 | Ассамбаев А.Ж., Жасанды интеллект негіздері. Алматы, 2011. | |
| 3 | Ian Goodfellow, Yoshua Bengio, Aaron Courville. Derin Öğrenme. Buzdağı Yayınevi; 1. basım. 2018.848 sayfa |