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BANK CHURN MODEL using keras.ipynb
BANK CHURN MODEL using keras.ipynb
 
 
CIFAR- EDA- ANN .ipynb
CIFAR- EDA- ANN .ipynb
 
 
CNN DIGITS.ipynb
CNN DIGITS.ipynb
 
 
CNN image classifcation.ipynb
CNN image classifcation.ipynb
 
 
Implement word2vec in gensim .ipynb
Implement word2vec in gensim .ipynb
 
 
Optimize tf pipeline.ipynb
Optimize tf pipeline.ipynb
 
 
README.md
README.md
 
 
Word embedding using keras embedding layer .ipynb
Word embedding using keras embedding layer .ipynb
 
 
building NN class using grad descent.ipynb
building NN class using grad descent.ipynb
 
 
churn with dropout reg.ipynb
churn with dropout reg.ipynb
 
 
commandstolearn.ipynb
commandstolearn.ipynb
 
 
data augmentation for overfitting.ipynb
data augmentation for overfitting.ipynb
 
 
digits classification using NN.ipynb
digits classification using NN.ipynb
 
 
grad_descent.ipynb
grad_descent.ipynb
 
 
log-loss implementation.ipynb
log-loss implementation.ipynb
 
 
mycache.txt.data-00000-of-00001
mycache.txt.data-00000-of-00001
 
 
mycache.txt.index
mycache.txt.index
 
 
quantization.ipynb
quantization.ipynb
 
 
telco-customer-churn EDA.ipynb
telco-customer-churn EDA.ipynb
 
 
telco-customer-churn W SMOTE.ipynb
telco-customer-churn W SMOTE.ipynb
 
 
tf input pipeline.ipynb
tf input pipeline.ipynb
 
 
tf pipeline practice preproc.ipynb
tf pipeline practice preproc.ipynb
 
 
transfer learning.ipynb
transfer learning.ipynb
 
 
types of gradient descent.ipynb
types of gradient descent.ipynb
 
 

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selfteaching_deeplearning

This is my exploration of deep learning concepts, and perfoming Exploratory Data Analysis (EDAs) on different datasets utilising deep learning concepts.

Please SEE EDAs for my own dataset analysis

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