Google Colab Exercises.
3 - The Perceptron.
4 - Metrics.
5 - Multilayer Perceptron.
6 - Backpropagation.
7 - Training.
Google Colab Experiment.
8a - Deep Learning.
8b - Regularization.
PKLotSegmented.tar.gz.
9 - Convergence.
10 - Hardware and Vectorization.
11 - CNNs.
12a - Weights Initialization.
Google Colab Experiment 1 - Weights Initialization.
Google Colab Experiment 2 - Transfer Learning.
12b - Visualizing CNNs.
Google Colab Experiment 1 - Visualizing Correlations.
Google Colab Experiment 2 - Visualizing Kernels.
Google Colab Experiment 3 - Noise Classification.
imgsTeste.tar.gz
13 - Normalization.
Google Colab Experiments - Normalization.
14 - Siamese Networks.
Google Colab Experiments - Siamese Networks.
mini_siamese_images.tar.xz
15 - Model Quantization.
Google Colab Experiments - Quantization.
16 - Word2Vec and Embeddings.
Google Colab Experiments - Embeddings.
Google Colab Experiments - Feature Extraction.
Google Colab Experiments - Preprocessing.
17 - Transformers.
Google Colab Experiments - Transformers.
18 - Large Language Models.
Google Colab Experiments - Temperature.
Google Colab Experiments - Llama 3.2.
19a - Multimodal Learning.
19b - Federated Learning.
19c - Timeline.
