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This is series of deep learning concepts from end-to-end. Very helpful series for those who are interested in learning Deep Learning using Tensorflow. This series include model comprsession techniques as well

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Customer_churn_prediction.csv
Customer_churn_prediction.csv
 
 
Handwritten_image-2-L2.PNG
Handwritten_image-2-L2.PNG
 
 
Handwritten_image-L2.PNG
Handwritten_image-L2.PNG
 
 
ImageNetLabels.txt
ImageNetLabels.txt
 
 
Image_input-NN-L2.PNG
Image_input-NN-L2.PNG
 
 
L-10_Introduction_to_Tensorboard_Handwritten_digits.ipynb
L-10_Introduction_to_Tensorboard_Handwritten_digits.ipynb
 
 
L-11_GPU_Bench-Marking-Image_Classification.ipynb
L-11_GPU_Bench-Marking-Image_Classification.ipynb
 
 
L-12_Customer-CHURN-using-ANN - Copy.ipynb
L-12_Customer-CHURN-using-ANN - Copy.ipynb
 
 
L-13_Precision_Recall_F1-score_True-Positive.ipynb
L-13_Precision_Recall_F1-score_True-Positive.ipynb
 
 
L-14_Dropout-Regularization.ipynb
L-14_Dropout-Regularization.ipynb
 
 
L-15_Handling-Imbalance_Dataset_Customer-CHURN-using-ANN.ipynb
L-15_Handling-Imbalance_Dataset_Customer-CHURN-using-ANN.ipynb
 
 
L-16_1_Handwritten_digits_classification_using_CNN.ipynb
L-16_1_Handwritten_digits_classification_using_CNN.ipynb
 
 
L-16_Image_classification_using_CNN.ipynb
L-16_Image_classification_using_CNN.ipynb
 
 
L-17_Data_Augmentation_Solving_Overfitting.ipynb
L-17_Data_Augmentation_Solving_Overfitting.ipynb
 
 
L-19_Transfer_Learning_using_MobileNet.ipynb
L-19_Transfer_Learning_using_MobileNet.ipynb
 
 
L-20_NLP-Word-Embedding-using-keras-Food_review-classification.ipynb
L-20_NLP-Word-Embedding-using-keras-Food_review-classification.ipynb
 
 
L-21-NLP-Word2Vec-Code_Implementation.ipynb
L-21-NLP-Word2Vec-Code_Implementation.ipynb
 
 
L-22-NLP-Word2Vec-Code_Implementation_Assignment.ipynb
L-22-NLP-Word2Vec-Code_Implementation_Assignment.ipynb
 
 
L-23-Tensorflow_PipeLine.ipynb
L-23-Tensorflow_PipeLine.ipynb
 
 
L-24-Optimized_TF_ PipleLine_Performance_Prefetch_Cache.ipynb
L-24-Optimized_TF_ PipleLine_Performance_Prefetch_Cache.ipynb
 
 
L-25_BERT_NLP_WORD_Embedding_.ipynb
L-25_BERT_NLP_WORD_Embedding_.ipynb
 
 
L-26-TF-SERVING-BERT_email_classification-handle-imbalance.ipynb
L-26-TF-SERVING-BERT_email_classification-handle-imbalance.ipynb
 
 
L2-NN-Handwritten-Digits.ipynb
L2-NN-Handwritten-Digits.ipynb
 
 
L3-Activation_Functions.ipynb
L3-Activation_Functions.ipynb
 
 
L4-Matrics_Basics.ipynb
L4-Matrics_Basics.ipynb
 
 
L5-Loss_Cost Function.ipynb
L5-Loss_Cost Function.ipynb
 
 
L6-Gradient_Descent.ipynb
L6-Gradient_Descent.ipynb
 
 
L7-Implmenting_Neural_Network.ipynb
L7-Implmenting_Neural_Network.ipynb
 
 
L8-Stochastic-Gradient_Descent.ipynb
L8-Stochastic-Gradient_Descent.ipynb
 
 
L9- BGD - SGD - MBGD.ipynb
L9- BGD - SGD - MBGD.ipynb
 
 
README.md
README.md
 
 
goldFish.jpg
goldFish.jpg
 
 
homeprices_banglore.csv
homeprices_banglore.csv
 
 
image.png
image.png
 
 
insurance.csv
insurance.csv
 
 
insurance_data.csv
insurance_data.csv
 
 
insurance_data_1.csv
insurance_data_1.csv
 
 
sonar_dataset.csv
sonar_dataset.csv
 
 
spam.csv
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DeepLearning_using_Tensorflow

This is series of deep learning concepts from end-to-end. Very helpful series for those who are interested in learning Deep Learning using Tensorflow. This series include model comprsession techniques as well

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This is series of deep learning concepts from end-to-end. Very helpful series for those who are interested in learning Deep Learning using Tensorflow. This series include model comprsession techniques as well

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