minitorch

The full minitorch student suite.

To access the autograder:

• Module 0: https://classroom.github.com/a/qDYKZff9
• Module 1: https://classroom.github.com/a/6TiImUiy
• Module 2: https://classroom.github.com/a/0ZHJeTA0
• Module 3: https://classroom.github.com/a/U5CMJec1
• Module 4: https://classroom.github.com/a/04QA6HZK
• Quizzes: https://classroom.github.com/a/bGcGc12k

Results

Module 0 - Simple Classifier

With parameters:

• linear.weight_0_0 = -1.51
• linear.weight_1_0 = -0.26
• linear.bias_0 = 0.77

Module 1 - Autodiff

Parameter	Simple	Diag	Split	XOR
Hidden Layers	4	3	5	5
Learning Rate	0.5	0.5	0.5	0.5
Epochs	500	300	400	300
Final Loss	1.2574	0.6139	6.5993	4.3938
Accuracy	98% (49/50)	100% (50/50)	96% (48/50)	96% (48/50)

Visual Results Table for Module 1

Dataset	Simple	Diag	Split	XOR
Data
Loss

Module 2 - Tensors

Parameter	Simple	Diag	Split	XOR	Circle
Hidden Layers	2	3	5	6	6
Learning Rate	0.5	0.5	0.5	0.5	0.5
Epochs	300	300	300	300	300
Final Loss	0.9570	0.8367	2.6457	5.8473	6.2091
Accuracy	100% (50/50)	100% (50/50)	98% (49/50)	96% (48/50)	96% (48/50)
Time/Epoch	0.072s	0.109s	0.191s	0.254	0.269s

Visual Results Table for Module 2

Dataset	Data	Loss
Simple
Diag
Split
XOR
Circle