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roscibely · Oct 23, 2023 · 5c90394 · 5c90394
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diff --git a/Module 5 - Image Classification with Deep Learning/6.2.4.cnn-in-keras.3.pdf b/Module 5 - Image Classification with Deep Learning/6.2.4.cnn-in-keras.3.pdf
diff --git a/...le 5 - Image Classification with Deep Learning/6.2.6.training-a-cnn-in-edge-impulse.2.pdf b/...le 5 - Image Classification with Deep Learning/6.2.6.training-a-cnn-in-edge-impulse.2.pdf
diff --git a/...Classification with Deep Learning/6.3.4.avoiding-overfitting-with-data-augmentation.3.pdf b/...Classification with Deep Learning/6.3.4.avoiding-overfitting-with-data-augmentation.3.pdf
diff --git a/...age Classification with Deep Learning/6.3.6.exploring-loss-functions-and-optimizers.3.pdf b/...age Classification with Deep Learning/6.3.6.exploring-loss-functions-and-optimizers.3.pdf
diff --git a/...e 5 - Image Classification with Deep Learning/6.3.7.transfer-learning-and-mobilenet.2.pdf b/...e 5 - Image Classification with Deep Learning/6.3.7.transfer-learning-and-mobilenet.2.pdf
diff --git a/README.md b/README.md
@@ -142,6 +142,8 @@ Este módulo apresenta o conceito de classificação de imagens, por que ela é
 #### Classificação de imagens 
 
 ##### Material
+
+
 | ID | Descrição | Links | Fonte |
 |----|-------------|:-----:|:-----------:|
 | 5.1.1 | O que é visão computacional? | [video](https://www.youtube.com/watch?v=fK8elevliKI&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=3) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
@@ -152,6 +154,7 @@ Este módulo apresenta o conceito de classificação de imagens, por que ela é
 
 
 
+
 #### Convolutional Neural Network (CNN)
 
 ##### Material
@@ -161,23 +164,23 @@ Este módulo apresenta o conceito de classificação de imagens, por que ela é
 | 5.2.1 | Convolução de imagem | [video](https://www.youtube.com/watch?v=glSdYcpP_v8&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=14)  | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
 | 5.2.2 | Camada de pooling | [video](https://www.youtube.com/watch?v=E9TNa_6Askc&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=15)  | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
 | 5.2.3 | Rede neural convolucional | [video](https://www.youtube.com/watch?v=30ikzV8Fi-0&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=16) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
-| 5.2.4 | CNN no keras | [slides](Module%206%20-%20Image%20Classification%20with%20Deep%20Learning/6.2.4.cnn-in-keras.3.pptx?raw=true) | [[3]](#3-slides-and-written-material-for-tinyml-courseware-by-harvard-university-is-licensed-under-cc-by-nc-sa-40) |
-| 5.2.5 | Treinando uma CNN no Edge Impulse| [video](https://www.youtube.com/watch?v=fihp_CqlcZU&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=17) [doc](Module%206%20-%20Image%20Classification%20with%20Deep%20Learning/6.2.6.training-a-cnn-in-edge-impulse.2.docx?raw=true) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
+| 5.2.4 | CNN no keras | [slides](Module%205%20-%20Image%20Classification%20with%20Deep%20Learning/6.2.4.cnn-in-keras.3.pdf?raw=true) | [[3]](#3-slides-and-written-material-for-tinyml-courseware-by-harvard-university-is-licensed-under-cc-by-nc-sa-40) |
+| 5.2.5 | Treinando uma CNN no Edge Impulse| [video](https://www.youtube.com/watch?v=fihp_CqlcZU&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=17) [doc](Module%205%20-%20Image%20Classification%20with%20Deep%20Learning/6.2.6.training-a-cnn-in-edge-impulse.2.pdf?raw=true) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
 
 
 
 #### Analisando CNNs, Data Augmentation e aprendizagem por transferência (_transfer learning_)
 
-##### Lecture Material
+##### Material
 
 | ID | Descrição | Links | Fonte |
 |----|-------------|:-----:|:-----------:|
 | 5.3.1 | Visualizações da CNN | [video](https://www.youtube.com/watch?v=TmOgYgY0fTc&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=18)  | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
 | 5.3.2 | Data augmentation | [video](https://www.youtube.com/watch?v=AB4dLvW5mus&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=19)  | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
-| 5.3.3 | Evitando overfitting com aumento de dados | [slides](Module%206%20-%20Image%20Classification%20with%20Deep%20Learning/6.3.4.avoiding-overfitting-with-data-augmentation.3.pptx?raw=true) | [[3]](#3-slides-and-written-material-for-tinyml-courseware-by-harvard-university-is-licensed-under-cc-by-nc-sa-40) |
+| 5.3.3 | Evitando overfitting com aumento de dados | [slides](Module%205%20-%20Image%20Classification%20with%20Deep%20Learning/6.3.4.avoiding-overfitting-with-data-augmentation.3.pdf?raw=true) | [[3]](#3-slides-and-written-material-for-tinyml-courseware-by-harvard-university-is-licensed-under-cc-by-nc-sa-40) |
 | 5.3.4 | Explorando funções de perda e otimizadores | [doc](Module%206%20-%20Image%20Classification%20with%20Deep%20Learning/6.3.6.exploring-loss-functions-and-optimizers.3.docx?raw=true) | [[3]](#3-slides-and-written-material-for-tinyml-courseware-by-harvard-university-is-licensed-under-cc-by-nc-sa-40) |
 | 5.3.5 | Transferir aprendizagem e MobileNet | [video](https://www.youtube.com/watch?v=93eczumOpx8&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=20) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
-| 5.3.6 | Transfer learning com Edge Impulse | [video](https://www.youtube.com/watch?v=93eczumOpx8&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=20) [slides](Module%206%20-%20Image%20Classification%20with%20Deep%20Learning/6.3.7.transfer-learning-and-mobilenet.2.pptx?raw=true) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |
+| 5.3.6 | Transfer learning com Edge Impulse | [video](https://www.youtube.com/watch?v=93eczumOpx8&list=PL7VEa1KauMQqQw7duQEB6GSJwDS06dtKU&index=20) [slides](Module%205%20-%20Image%20Classification%20with%20Deep%20Learning/6.3.7.transfer-learning-and-mobilenet.2.pdf?raw=true) | [[2]](#2-slides-and-written-material-for-computer-vision-with-embedded-machine-learning-by-edge-impulse-is-licensed-under-cc-by-nc-sa-40) |