GitHub - pecko-g/IBM-AI-Engineering: Just a collection of the stuff I did in the Coursera IBM AI Engineering Course

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
1.3.1_simple_data_set_v2.ipynb		1.3.1_simple_data_set_v2.ipynb
1.3.2_Datasets_and_transforms.ipynb		1.3.2_Datasets_and_transforms.ipynb
2.1.1_Images_with_python_library_PIL.ipynb		2.1.1_Images_with_python_library_PIL.ipynb
2.1.2_Images_with_python_library_CV.ipynb		2.1.2_Images_with_python_library_CV.ipynb
2.1Prediction1Dregression_v3.ipynb		2.1Prediction1Dregression_v3.ipynb
2.2.2_basic_image_manipulation_open_CV.ipynb		2.2.2_basic_image_manipulation_open_CV.ipynb
2.2_linear_regression_one_parameter_v3.ipynb		2.2_linear_regression_one_parameter_v3.ipynb
3.1_stochastic_gradient_descent_v3.ipynb		3.1_stochastic_gradient_descent_v3.ipynb
3.2_mini-batch_gradient_descent_v3.ipynb		3.2_mini-batch_gradient_descent_v3.ipynb
3.3_PyTorchway_v3.ipynb		3.3_PyTorchway_v3.ipynb
4.1.multiple_linear_regression_prediction_v2.ipynb		4.1.multiple_linear_regression_prediction_v2.ipynb
5.1logistic_regression_prediction_v2.ipynb		5.1logistic_regression_prediction_v2.ipynb
6.2lab_predicting _MNIST_using_Softmax_v2.ipynb		6.2lab_predicting _MNIST_using_Softmax_v2.ipynb
7.2multiple_neurons.ipynb		7.2multiple_neurons.ipynb
7.3xor_v2.ipynb		7.3xor_v2.ipynb
7.4one_layer_neural_network_MNIST.ipynb		7.4one_layer_neural_network_MNIST.ipynb
7.5.2mist1layer_v2.ipynb		7.5.2mist1layer_v2.ipynb
8.1.1mist2layer_v2.ipynb		8.1.1mist2layer_v2.ipynb
8.1.2mulitclassspiralrulu_v2.ipynb		8.1.2mulitclassspiralrulu_v2.ipynb
9_4_2CNN_Small_Image.ipynb		9_4_2CNN_Small_Image.ipynb
Assignment_A.ipynb		Assignment_A.ipynb
Assignment_B.ipynb		Assignment_B.ipynb
Assignment_C.ipynb		Assignment_C.ipynb
Assignment_D.ipynb		Assignment_D.ipynb
CNN.ipynb		CNN.ipynb
Data_Augmentation.ipynb		Data_Augmentation.ipynb
Logistic_Regression_With_Mini-Batch_Gradient_Descent.ipynb		Logistic_Regression_With_Mini-Batch_Gradient_Descent.ipynb
ML0120EN-1.1-Review-TensorFlow-Hello-World.ipynb		ML0120EN-1.1-Review-TensorFlow-Hello-World.ipynb
ML0120EN-1.2-Review-LinearRegressionwithTensorFlow.ipynb		ML0120EN-1.2-Review-LinearRegressionwithTensorFlow.ipynb
ML0120EN-1.4-Review-LogisticRegressionwithTensorFlow.ipynb		ML0120EN-1.4-Review-LogisticRegressionwithTensorFlow.ipynb
ML0120EN-2.2-Review-CNN-MNIST-Dataset.ipynb		ML0120EN-2.2-Review-CNN-MNIST-Dataset.ipynb
ML0120EN-3.1-Reveiw-LSTM-basics.ipynb		ML0120EN-3.1-Reveiw-LSTM-basics.ipynb
ML0120EN-3.2-Review-LSTM-LanguageModelling.ipynb		ML0120EN-3.2-Review-LSTM-LanguageModelling.ipynb
ML0120EN-4.1-Review-RBMMNIST.ipynb		ML0120EN-4.1-Review-RBMMNIST.ipynb
ML0120EN-5.1-Review-Autoencoders.ipynb		ML0120EN-5.1-Review-Autoencoders.ipynb
ML0120EN-Eager_Execution.ipynb		ML0120EN-Eager_Execution.ipynb
Training_a_Neural_Network_with_Momentum.ipynb		Training_a_Neural_Network_with_Momentum.ipynb

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