Name		Name	Last commit message	Last commit date
1Dtensors_v2.ipynb		1Dtensors_v2.ipynb
4.1_resnet18_PyTorch.ipynb		4.1_resnet18_PyTorch.ipynb
Activation_Max_Pooling.ipynb		Activation_Max_Pooling.ipynb
Activationfuction_v2.ipynb		Activationfuction_v2.ipynb
Advanced Data Augmentation with Keras.ipynb		Advanced Data Augmentation with Keras.ipynb
Bad_Initilization_Logistic_Regression_with_mean_square_error_v2.ipynb		Bad_Initilization_Logistic_Regression_with_mean_square_error_v2.ipynb
Batch_Normalization_v2.ipynb		Batch_Normalization_v2.ipynb
Building Autoencoders-v1.ipynb		Building Autoencoders-v1.ipynb
Building a Deep Q-Network with Keras-v1.ipynb		Building a Deep Q-Network with Keras-v1.ipynb
CNN_Small_Image.ipynb		CNN_Small_Image.ipynb
CNN_Small_Image_batch.ipynb		CNN_Small_Image_batch.ipynb
Convolutional Neural Network for Anime Image Classification-v1.ipynb		Convolutional Neural Network for Anime Image Classification-v1.ipynb
ConvolutionalNeralNetworkSimple example.ipynb		ConvolutionalNeralNetworkSimple example.ipynb
Creating_Custom_Layers_and_Models.ipynb		Creating_Custom_Layers_and_Models.ipynb
Cross_Entropy_Logistic_Regression_v2.ipynb		Cross_Entropy_Logistic_Regression_v2.ipynb
Custom Training Loops in Keras-v1.ipynb		Custom Training Loops in Keras-v1.ipynb
Datasets_and_transforms.ipynb		Datasets_and_transforms.ipynb
Deep Neural Network for Wine Classification-v1.ipynb		Deep Neural Network for Wine Classification-v1.ipynb
Develop GANs using Keras-v1.ipynb		Develop GANs using Keras-v1.ipynb
Dropout_Classification_v2.ipynb		Dropout_Classification_v2.ipynb
Dropout_Regression_v2.ipynb		Dropout_Regression_v2.ipynb
FashionMNISTProject-v1.ipynb		FashionMNISTProject-v1.ipynb
Final Proj-Classify Waste Products Using TL- FT-v1.ipynb		Final Proj-Classify Waste Products Using TL- FT-v1.ipynb
Hyperparameter Tuning with Keras Tuner-v1.ipynb		Hyperparameter Tuning with Keras Tuner-v1.ipynb
Implementing Q-Learning in Keras-v1.ipynb		Implementing Q-Learning in Keras-v1.ipynb
Implementing Transformers for Text Genera-v1.ipynb		Implementing Transformers for Text Genera-v1.ipynb
Implementing the Functional API in Keras-v1.ipynb		Implementing the Functional API in Keras-v1.ipynb
Implementing-Diffusion-Models-v1.ipynb		Implementing-Diffusion-Models-v1.ipynb
Initilazation_Same_Weights_v2.ipynb		Initilazation_Same_Weights_v2.ipynb
Initilazation_tanh_activation_v2.ipynb		Initilazation_tanh_activation_v2.ipynb
LR_Final Project League of Legends Match Predictor-v2.ipynb		LR_Final Project League of Legends Match Predictor-v2.ipynb
Linear_Regression_one_parameter_v3.ipynb		Linear_Regression_one_parameter_v3.ipynb
Logistic_Regression_Prediction_v2.ipynb		Logistic_Regression_Prediction_v2.ipynb
Mini-Batch_Gradient_Descent_v3.ipynb		Mini-Batch_Gradient_Descent_v3.ipynb
Momentum_with_Polynomial_Functions_v2.ipynb		Momentum_with_Polynomial_Functions_v2.ipynb
Multi-Target_Linear_Regression.ipynb		Multi-Target_Linear_Regression.ipynb
Multiple Channel Convolution.ipynb		Multiple Channel Convolution.ipynb
Multiple_Linear_Regression_Prediction_v2.ipynb		Multiple_Linear_Regression_Prediction_v2.ipynb
Multiple_Linear_Regression_Training_v2.ipynb		Multiple_Linear_Regression_Training_v2.ipynb
Multiple_Neurons.ipynb		Multiple_Neurons.ipynb
Neural_Networks_with_Momentum_v2.ipynb		Neural_Networks_with_Momentum_v2.ipynb
One-Dimensional_Tensors_v2.ipynb		One-Dimensional_Tensors_v2.ipynb
One_Layer_Neural_Network_MNIST.ipynb		One_Layer_Neural_Network_MNIST.ipynb
Practical Application of Transpose Convolution.ipynb		Practical Application of Transpose Convolution.ipynb
Predicting _MNIST_using_Softmax_v2.ipynb		Predicting _MNIST_using_Softmax_v2.ipynb
Prediction1Dregression_v3.ipynb		Prediction1Dregression_v3.ipynb
PyTorchway_v3.ipynb		PyTorchway_v3.ipynb
README.md		README.md
REVIEW-Lab_Building Advanced Transformers.ipynb		REVIEW-Lab_Building Advanced Transformers.ipynb
Sigm_Tanh_Relu_ActivFunctions_v2.ipynb		Sigm_Tanh_Relu_ActivFunctions_v2.ipynb
Simple_1_Hidden_Layer.ipynb		Simple_1_Hidden_Layer.ipynb
Softmax_in_one_dimension_v2.ipynb		Softmax_in_one_dimension_v2.ipynb
Stochastic_Gradient_Descent_v3.ipynb		Stochastic_Gradient_Descent_v3.ipynb
TEST-PROJ-v1.ipynb		TEST-PROJ-v1.ipynb
Training_Multiple_Output_Linear_Regression.ipynb		Training_Multiple_Output_Linear_Regression.ipynb
Training_and_Validation_v3.ipynb		Training_and_Validation_v3.ipynb
Transfer_Learning_Implementation.ipynb		Transfer_Learning_Implementation.ipynb
Two-Dimensional_Tensors_v2.ipynb		Two-Dimensional_Tensors_v2.ipynb
What_is_Convolution.ipynb		What_is_Convolution.ipynb
Xor_v2.ipynb		Xor_v2.ipynb
derivativesandGraphsinPytorch_v2.ipynb		derivativesandGraphsinPytorch_v2.ipynb
pre-Built Datasets_and_transforms_v2.ipynb		pre-Built Datasets_and_transforms_v2.ipynb
simple_data_set_v2.ipynb		simple_data_set_v2.ipynb
training_slope_and_bias_v3.ipynb		training_slope_and_bias_v3.ipynb

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