├── .ipynb_checkpoints ├── Loading the MNIST Dataset-checkpoint.ipynb ├── README-checkpoint.md └── playing with numpy library-checkpoint.ipynb ├── Data └── MNIST │ └── raw │ └── train-images-idx3-ubyte.gz ├── Exercise Notebooks ├── .ipynb_checkpoints │ ├── How_to_Define_Functional_And_Sequential_Keras_Models-checkpoint.ipynb │ ├── Loading the MNIST Dataset-checkpoint.ipynb │ ├── NumPy_Exercises_From_Udemy_Course-checkpoint.ipynb │ ├── Pandas_Exercises_From_Udemy_Course-checkpoint.ipynb │ ├── Playing with numpy library-checkpoint.ipynb │ ├── Playing_With_Matplotlib_Library-checkpoint.ipynb │ ├── Playing_With_Numpy_Library-checkpoint.ipynb │ ├── Playing_With_Pandas_Library-checkpoint.ipynb │ ├── Playing_With_Pytorch_Library-checkpoint.ipynb │ ├── Playing_With_Scipy_Library-checkpoint.ipynb │ ├── Playing_With_Seaborn_Library-checkpoint.ipynb │ ├── Training_a_Convolutional_Dense_Layer_With_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset-checkpoint.ipynb │ ├── Training_a_Convolutional_Layer_With_Recognition_Model_Using_Pytorch_on_the_MNIST_Dataset-checkpoint.ipynb │ ├── Training_a_Digit_Recognition_Model_Using_Keras_on_the_MNIST_Dataset-checkpoint.ipynb │ ├── Training_a_Digit_Recognition_Model_Using_Pytorch_Library_on_the_MNIST_Dataset-checkpoint.ipynb │ ├── Training_a_Learning_Model_Using_Keras_for_Digit_Recognition_on_the_MNIST_Dataset-checkpoint.ipynb │ ├── Training_a_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset-checkpoint.ipynb │ └── Training_a_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset.ipynb-checkpoint.ipynb ├── Data │ ├── Data_model_CIFAR-10.h5 │ ├── Data_model_CIFAR-10.json │ ├── Hand_Writing_Number_4.png │ ├── Universities.csv │ ├── Yasin Rezvani.jpg │ ├── Yasin Rezvani_grayscale.jpg │ ├── Yasin Rezvani_resized.jpg │ ├── african_econ_crises.csv │ ├── face_from_scipy_misc_library.png │ ├── heart.csv │ ├── iris.csv │ ├── model.h5 │ ├── model.json │ ├── outputfromDataFrame.csv │ └── outputfromDataFramewithindex.csv ├── How_to_Define_Functional_And_Sequential_Keras_Models.ipynb ├── Loading_The_MNIST_Dataset.ipynb ├── NumPy_Exercises_From_Udemy_Course.ipynb ├── Pandas_Exercises_From_Udemy_Course.ipynb ├── Playing_With_Matplotlib_Library.ipynb ├── Playing_With_Numpy_Library.ipynb ├── Playing_With_Pandas_Library.ipynb ├── Playing_With_Scipy_Library.ipynb ├── Playing_With_Seaborn_Library.ipynb ├── Training_a_Convolutional_Dense_Layer_With_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset.ipynb ├── Training_a_Convolutional_Layer_With_Recognition_Model_Using_Pytorch_on_the_MNIST_Dataset.ipynb ├── Training_a_Digit_Recognition_Model_Using_Keras_on_the_MNIST_Dataset.ipynb ├── Training_a_Digit_Recognition_Model_Using_Pytorch_Library_on_the_MNIST_Dataset.ipynb └── Training_a_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset.ipynb ├── LICENSE.txt └── README.md /.ipynb_checkpoints/Loading the MNIST Dataset-checkpoint.ipynb: 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