coursera-deep-learning-specialization

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Image Segmentation with U-Net dataset

2

Hi, Could you put the dataset folders into repo if it's not a problem? (cameraRGB, cameraMask) I understand that I could find other dataset (but I don't know if does...

ErniW

Hi, Got an error when loading the model in YOLO Car detection example when I run the notebook on my computer (with all files downloaded). Is it an issue only...

ErniW

while building neutral network compute function has given 3 parameters instead of 2

3

solution: just remove "parameters" parameter and it will be fine reference :In Planar_data_classification_with_one_hidden_layer in neural network and deep learning

Preay

The LaTeX code is visible in raw format under the section "Broadcasting the Softmax Function"as it has a syntax error

hitenvidhani

Added some more questions for C4 in the course

sr347012

There are missing **"MobileNet"**, **"MobileNet Architecture"** and **"EfficientNet"** notes.

Matan-Vinkler

In Week 1-> regularization notebook -> I canot load dataset ``` 1 x_train, y_train, X_test, y_test = load_2D_dataset() 3 frames [/usr/local/lib/python3.10/dist-packages/scipy/io/matlab/_miobase.py](https://localhost:8080/#) in _get_matfile_version(fileobj) 247 if maj_val in (1, 2): 248...

defyingdemonprogram

C4-Week2 KerasTutorial datasets train_happy.h5.zip is unzip error

1

aChaoLuo

Links to Programming Assignments from 2021 version are broken: 

mrgransky

Your `scaled_attention_logits` is calculated wrong, since it gives: ``` --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) in 1 # UNIT TEST ----> 2 scaled_dot_product_attention_test(scaled_dot_product_attention) ~/work/W4A1/public_tests.py in scaled_dot_product_attention_test(target) 73 assert np.allclose(weights,...

mrgransky