Actually , i have lost my subscription from coursera so i m not able to access this course.All the .h5 files u have uploaded is not working and giving the error "OSError: Unable to open file (file signature not found)".U can check this here "https://stackoverflow.com/questions/38089950/error-opening-file-in-h5py-file-signature-not-found". If u may uplaod the correct files ,it will be really helpful. Thanks in advance

Hi,

I cloned the repository on my system. I set permissions to execute setup.sh file. On running setup.sh, I am getting following error -

Archive:  ./C5 - Sequence Models/Week 2/Word Vector Representation/data/glove.6B.50d.txt.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C5 - Sequence Models/Week 2/Word Vector Representation/data/glove.6B.50d.txt.zip or
        ./C5 - Sequence Models/Week 2/Word Vector Representation/data/glove.6B.50d.txt.zip.zip, and cannot find ./C5 - Sequence Models/Week 2/Word Vector Representation/data/glove.6B.50d.txt.zip.ZIP, period.

Archive:  ./C5 - Sequence Models/Week 2/Emojify/data/glove.6B.50d.txt.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C5 - Sequence Models/Week 2/Emojify/data/glove.6B.50d.txt.zip or
        ./C5 - Sequence Models/Week 2/Emojify/data/glove.6B.50d.txt.zip.zip, and cannot find ./C5 - Sequence Models/Week 2/Emojify/data/glove.6B.50d.txt.zip.ZIP, period.

Archive:  ./C5 - Sequence Models/Week 3/Trigger word detection/XY_dev/X_dev.npy.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C5 - Sequence Models/Week 3/Trigger word detection/XY_dev/X_dev.npy.zip or
        ./C5 - Sequence Models/Week 3/Trigger word detection/XY_dev/X_dev.npy.zip.zip, and cannot find ./C5 - Sequence Models/Week 3/Trigger word detection/XY_dev/X_dev.npy.zip.ZIP, period.

Archive:  ./C5 - Sequence Models/Week 3/Trigger word detection/models/tr_model.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C5 - Sequence Models/Week 3/Trigger word detection/models/tr_model.h5.zip or
        ./C5 - Sequence Models/Week 3/Trigger word detection/models/tr_model.h5.zip.zip, and cannot find ./C5 - Sequence Models/Week 3/Trigger word detection/models/tr_model.h5.zip.ZIP, period.

Archive:  ./C5 - Sequence Models/Week 3/Trigger word detection/XY_train/X.npy.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C5 - Sequence Models/Week 3/Trigger word detection/XY_train/X.npy.zip or
        ./C5 - Sequence Models/Week 3/Trigger word detection/XY_train/X.npy.zip.zip, and cannot find ./C5 - Sequence Models/Week 3/Trigger word detection/XY_train/X.npy.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 2/ResNets/datasets/train_signs.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 2/ResNets/datasets/train_signs.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 2/ResNets/datasets/train_signs.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 2/ResNets/datasets/train_signs.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 2/ResNets/ResNet50.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 2/ResNets/ResNet50.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 2/ResNets/ResNet50.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 2/ResNets/ResNet50.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 2/KerasTutorial/datasets/train_happy.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 2/KerasTutorial/datasets/train_happy.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 2/KerasTutorial/datasets/train_happy.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 2/KerasTutorial/datasets/train_happy.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/yolo.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/yolo.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/yolo.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/yolo.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/nn4.small2.v7.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/nn4.small2.v7.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/nn4.small2.v7.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/nn4.small2.v7.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_3x3_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_3x3_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_3x3_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_3x3_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_1x1_conv_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_1x1_conv_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_1x1_conv_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_1x1_conv_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_3x3_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_3x3_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_3x3_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_3x3_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_3x3_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_3x3_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_3x3_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_3x3_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_3x3_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_3x3_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_3x3_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4a_3x3_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_1x1_conv_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_1x1_conv_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_1x1_conv_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5a_1x1_conv_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_3c_3x3_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_3c_3x3_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_3c_3x3_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_3c_3x3_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_5x5_conv2_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_5x5_conv2_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_5x5_conv2_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_4e_5x5_conv2_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_1x1_conv_w.csv.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_1x1_conv_w.csv.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_1x1_conv_w.csv.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/weights/inception_5b_1x1_conv_w.csv.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_face.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_face.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_face.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_face.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/test_happy.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/test_happy.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/test_happy.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/test_happy.h5.zip.ZIP, period.

Archive:  ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_happy.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_happy.h5.zip or
        ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_happy.h5.zip.zip, and cannot find ./C4 - Convolutional Neural Networks/Week 4/Face Recognition/datasets/train_happy.h5.zip.ZIP, period.

Archive:  ./C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 3/datasets/train_signs.h5.zip
  End-of-central-directory signature not found.  Either this file is not
  a zipfile, or it constitutes one disk of a multi-part archive.  In the
  latter case the central directory and zipfile comment will be found on
  the last disk(s) of this archive.
unzip:  cannot find zipfile directory in one of ./C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 3/datasets/train_signs.h5.zip or
        ./C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 3/datasets/train_signs.h5.zip.zip, and cannot find ./C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 3/datasets/train_signs.h5.zip.ZIP, period.

./setup.sh: line 8: ./C4 - Convolutional Neural Networks/Week 4/Neural Style Transfer/pretrained-model/imagenet-vgg-verydeep-19.mat: No such file or directory

On running file command with one of the zip files I get following -

file glove.6B.50d.txt.zip glove.6B.50d.txt.zip: ASCII text With 7z command I get following -

7z e glove.6B.50d.txt.zip

7-Zip [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21
p7zip Version 16.02 
Scanning the drive for archives:
1 file, 133 bytes (1 KiB)

Extracting archive: glove.6B.50d.txt.zip
ERROR: glove.6B.50d.txt.zip
glove.6B.50d.txt.zip
Open ERROR: Can not open the file as [zip] archive

ERRORS:
Is not archive

Can't open as archive: 1
Files: 0
Size:       0
Compressed: 0

Can you provide the correct zip files?

There is a problem in loading cat vs non cat dataset. Its giving "OSError: Unable to open file (file signature not found)" while loading dataset. I think , the dataset is not upoaded properly.May u plz look into it.

I cannot manage to download the dataset data.mat for C2 - PA2. This is the link to the file in this GitHub: https://github.com/amanchadha/coursera-deep-learning-specialization/blob/6ebc4d60a90c1592aee3eaa3113eb4b37d9b4b19/C2%20-%20Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning,%20Regularization%20and%20Optimization/Week%201/Regularization/datasets/data.mat Can anybody share a download link to a file, e.g., via OneDrive, Google Drive, or any other similar service?

Much appreciated!

A trick when you want to flatten a matrix X of shape (a,b,c,d) to a matrix X_flatten of shape (b$$c$$d, a) is to use:

X_flatten = X.reshape(X.shape[0], -1).T      # X.T is the transpose of X

Hi Aman,

Thanks for uploading this repo. In Course 4, week 4 assignment, some of the weight files of FaceNet has not been unzipped properly. While cloning and running the code its throwing error. Please check and update.

Thanks

The function "plot_decision_boundary(model, X, y)" does not work to plot the decision boundaries according to the trained neural network due to incorrect shapes. If you want to plot the decision boundaries for "4.5 Predictions" and "4.6 - Tuning hidden layer size (optional/ungraded exercise)", use the following function instead (place within the same .py file as your function "predict(parameters, X)", otherwise you'll need to import the functions):

def plot_decision_boundary_nn(parameters, X, Y):
    # Set min and max values and give it some padding
    x_min, x_max = X[0, :].min() - 1, X[0, :].max() + 1
    y_min, y_max = X[1, :].min() - 1, X[1, :].max() + 1
    h = 0.01
    # Generate a grid of points with distance h between them
    xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))
    grid_points = np.c_[xx.ravel(), yy.ravel()].T
    # Predict the function value for the whole grid
    Z = predict(parameters, grid_points)
    Z = Z.reshape(xx.shape)
    # Plot the contour and training examples
    plt.contourf(xx, yy, Z, cmap=plt.cm.Spectral)
    plt.ylabel('x2')
    plt.xlabel('x1')
    plt.scatter(X[0, :], X[1, :], c=Y, cmap=plt.cm.Spectral)

Hello In course 4 (ConvNets), Week2, Assignment 1 (ResNets) , section 3.2 (The convolutional block), I did the implementation myself and got an error. When I looked at this solution, I find it exactly the same as mine but gives the same error:

I am getting the following error in the function "convolutional block":

AssertionError Traceback (most recent call last) Input In [13], in <cell line: 14>() 12 assert type(A) == EagerTensor, "Use only tensorflow and keras functions" 13 assert tuple(tf.shape(A).numpy()) == (3, 2, 2, 6), "Wrong shape." ---> 14 assert np.allclose(A.numpy(), convolutional_block_output1), "Wrong values when training=False." 15 print(A[0]) 17 B = convolutional_block(X, f = 2, filters = [2, 4, 6], training=True)

AssertionError: Wrong values when training=False.

Can you please advise?

Thanks,

Boris M.

Hi!

First of all, thanks for all the content, It's helping me a lot.

I'm a newbie on GitHub, so maybe It's my mistake. I've clone the entire repository and then I tried to use the following command to get de h5 file:

• git lfs pull

But I'm getting the next error message: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access. Failed to fetch some objects from 'https://github.com/amanchadha/coursera-deep-learning-specialization.git/info/lfs'

I would appreciate any help.

Thanks on advice !!

PD. I found here how to proceed: https://stackoverflow.com/questions/58078170/github-how-to-download-hdf5-file

This Solution isn't upto date as i looked up into the matter, the updated version requires more packages to be initiated

import numpy as np import copy import matplotlib.pyplot as plt import h5py import scipy from PIL import Image from scipy import ndimage from lr_utils import load_dataset from public_tests import *

%matplotlib inline %load_ext autoreload %autoreload 2

and so with this we will have different solution

In part 2 where we try to reshape the training and test examples, i.e. to flatten matrix "train_set_x_orig" and "test_set_x_orig".

In this note, the author uses "train_set_x_flatten = train_set_x_orig.reshape(train_set_x_orig.shape[1]*train_set_x_orig.shape[2]*train_set_x_orig.shape[3],train_set_x_orig.shape[0])", which fails in making every colum as a training example and a wrong result of train accuracy and test accuracy.

I think "train_set_x_flatten = train_set_x_orig.reshape(train_set_x_orig.shape[0], -1).T" would be better.

please feel free to discuss this:)

The older function used to return 3 variables parameters,v,s like

return parameters,v,s

At the end of the function but for now the tests got updated and now it wants to get 5 variables returned to test the function. So the function here also needs to be updated to reflect that.

See the newer version of test it wants to unpack 5 values from the function in place of 3 as with the previous versions This is the older code in this repo that returned 3 variables only. I have included the older version of test also here that wanted to unpack 3 variables.