====== HW 2 - Classification ======

In this homework, you'll begin by revisiting the fundamentals of classification. Subsequently, you'll implement a straightforward classifier. Following that, you will delve into more advanced classifiers utilizing deep learning techniques. Upon completing this assignment, you will have a comprehensive grasp of classification.

All the necessary files and instructions are available here [[https://github.com/urob-ctu/hw2]]. Please be sure to carefully read the instructions contained in the README.md file.

===== Evaluation =====

This assignment is worth a maximum of <wrap em>20 points</wrap>. The grading breakdown is as follows:
  * ** Assignments in the assignments folder <wrap hi>(15 points)</wrap>:** While following the instructions in the notebooks, you'll be prompted to make modifications to specific files within the //assignments// folder. The autograder will assess your code and allocate points accordingly <wrap hi>(1 point per assignment)</wrap>. You can initiate the autograder locally by executing the following command in your terminal: 

  python test_assignments.py
  
<WRAP center round important 60%>
The autograder exclusively evaluates the files in the //assignments// folder. Additionally, please refrain from altering any code outside the designated sections, as doing so may cause the autograder to malfunction and result in a less than optimal grade.
</WRAP>

  * ** Final assignment + responses to questions <wrap hi>(5 points)</wrap>:** The final task entails training an MLP classifier in the file //mlp_part_2.ipynb//. Furthermore, in most of the notebooks, you will encounter questions that require your responses. Kindly provide your answers within the specified cells. Your responses will be evaluated by the teaching assistants, and points will be awarded accordingly.

===== Submission =====

Once you have completed all the assignments and are ready to submit your work, employ the following command in your terminal:

  python submit.py

This action will generate a zip file named //hw2.zip// in the project's root directory. Submit this file to the BRUTE system.

/* {{:courses:b3b33urob:tutorials:spirals_relu_short.mp4 |Space transformation with ReLU activation function}}
{{ :courses:b3b33urob:tutorials:spirals_tanh_short.mp4|Space transformation with Tanh activation function}}
{{ :courses:b3b33urob:tutorials:spirals_sigmoid_short.mp4 |Space transformation with Sigmoid activation function}}*/