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/06_especializacao_(specialization)/ap/aulas_(slides)/202021/

0 directories 24 files 171 MiB total

	Name	Size	Modified
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	00_lecture_notes.pdf	20 MiB	03/19/2023 07:42:29 AM +00:00
	01_introduction.pdf	11 MiB	03/19/2023 07:42:29 AM +00:00
	02_deep_learning.pdf	15 MiB	03/19/2023 07:42:28 AM +00:00
	03_training_neural_networks.pdf	13 MiB	03/19/2023 07:42:29 AM +00:00
	04_intro_to_tensorflow.pdf	5.2 MiB	03/19/2023 07:42:28 AM +00:00
	05_activations_and_loss_functions.pdf	10 MiB	03/19/2023 07:42:29 AM +00:00
	06_tensorflow_and_tensorboard.pdf	4.4 MiB	03/19/2023 07:42:29 AM +00:00
	07_optimizing_networks.pdf	7.1 MiB	03/19/2023 07:42:29 AM +00:00
	08_convolutional_networks.pdf	7.1 MiB	03/19/2023 07:42:28 AM +00:00
	09_cnn_architectures.pdf	4.7 MiB	03/19/2023 07:42:29 AM +00:00
	10_keras_functional.pdf	4.8 MiB	03/19/2023 07:42:28 AM +00:00
	11_autoencoders.pdf	13 MiB	03/19/2023 07:42:28 AM +00:00
	12_representation_learning.pdf	4.4 MiB	03/19/2023 07:42:28 AM +00:00
	13_generating_images.pdf	9.0 MiB	03/19/2023 07:42:28 AM +00:00
	14_visualizing_cnn.pdf	2.2 MiB	03/19/2023 07:42:29 AM +00:00
	15_recurrent_networks.pdf	7.3 MiB	03/19/2023 07:42:29 AM +00:00
	16_implementing-rnn.pdf	1.7 MiB	03/19/2023 07:42:29 AM +00:00
	17_probabilistic_models.pdf	5.2 MiB	03/19/2023 07:42:29 AM +00:00
	18_transformers.pdf	4.3 MiB	03/19/2023 07:42:29 AM +00:00
	19_reinforcement_learning.pdf	3.5 MiB	03/19/2023 07:42:29 AM +00:00
	20_deep_reinforcement_learning.pdf	3.5 MiB	03/19/2023 07:42:28 AM +00:00
	21_interpreting_deep_models.pdf	5.4 MiB	03/19/2023 07:42:28 AM +00:00
	22_bias_and_fairness.pdf	8.1 MiB	03/19/2023 07:42:28 AM +00:00
	23_open_problems.pdf	2.1 MiB	03/19/2023 07:42:28 AM +00:00