Your first AI model from scratch

This is the code supporting the presentation. It is a pure python implementation following the contents of the Neural Networks from Scratch in Python book.

Other useful materials: The Little Book of Deep Learning Usefulf videos in the Global AI Bootcamp 2025, Bulgaria presentation

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
1-single_neuron.py		1-single_neuron.py
10-batch.py		10-batch.py
11-two_layers.py		11-two_layers.py
12-data_set.py		12-data_set.py
13-dense_layer.py		13-dense_layer.py
14-activations.py		14-activations.py
15-linearity.py		15-linearity.py
16-softmax.py		16-softmax.py
17-categorical_x_entropy_loss.py		17-categorical_x_entropy_loss.py
18-accuracy.py		18-accuracy.py
19-brute_force.py		19-brute_force.py
2-single_layer.py		2-single_layer.py
20-derivatives.py		20-derivatives.py
21-backpropagation.py		21-backpropagation.py
22-backpropagation_layer.py		22-backpropagation_layer.py
23-derivatives.py		23-derivatives.py
24-backpropagation_network.py		24-backpropagation_network.py
25-optimizers.py		25-optimizers.py
3-single_layer_loop.py		3-single_layer_loop.py
4-tensors.py		4-tensors.py
5-ops.py		5-ops.py
6-numpy.py		6-numpy.py
7-numpy_layer.py		7-numpy_layer.py
8-product.py		8-product.py
9-transpose.py		9-transpose.py
99-randomness.py		99-randomness.py
LICENSE		LICENSE
README.md		README.md
global-ai-bootcamp-2025.md		global-ai-bootcamp-2025.md

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