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.ipynb_checkpoints
.ipynb_checkpoints
tensorboard/
logs
tensorboard/
logs
1. Getting Started with TensorFlow.ipynb
1. Getting Started with TensorFlow.ipynb
1. TensorFlow Fundamentals.ipynb
1. TensorFlow Fundamentals.ipynb
2. Machine Learning Basics - Linear regression.ipynb
2. Machine Learning Basics - Linear regression.ipynb
2. TensorFLow Way.ipynb
2. TensorFLow Way.ipynb
3 Linear Regression.ipynb
3 Linear Regression.ipynb
3. Linear Regression.ipynb
3. Linear Regression.ipynb
4. Support Vector Machines.ipynb
4. Support Vector Machines.ipynb
5. Nearest Neighbor Methods.ipynb
5. Nearest Neighbor Methods.ipynb
AbhijeetNegi.docx
AbhijeetNegi.docx
Chatbot-application.ipynb
Chatbot-application.ipynb
DNN.ipynb
DNN.ipynb
Introductory CNN Model MNIST Digits.ipynb
Introductory CNN Model MNIST Digits.ipynb
Learning The TensorFlow Way of Linear regression.ipynb
Learning The TensorFlow Way of Linear regression.ipynb
Linear Regression using TensorFlow .ipynb
Linear Regression using TensorFlow .ipynb
Linear-Regression-tensorflow.png
Linear-Regression-tensorflow.png
Logistic Regression using TensorFlow.ipynb
Logistic Regression using TensorFlow.ipynb
Nearest Neighbor using TensorFlow.ipynb
Nearest Neighbor using TensorFlow.ipynb
Project 2 Handwritten Number Recognition with TFLearn and MNIST.ipynb
Project 2 Handwritten Number Recognition with TFLearn and MNIST.ipynb
Project 3 House Rental Prediction.ipynb
Project 3 House Rental Prediction.ipynb
Project 3 Sentiment Analysis with TFLearn.ipynb
Project 3 Sentiment Analysis with TFLearn.ipynb
Project 4 House Rental Prediction.ipynb
Project 4 House Rental Prediction.ipynb
Project 5 Full Multi-threaded pipeline.ipynb
Project 5 Full Multi-threaded pipeline.ipynb
Project TFLearn .ipynb
Project TFLearn .ipynb
Project+2+Sentiment+Analysis+with+TFLearn.ipynb
Project+2+Sentiment+Analysis+with+TFLearn.ipynb
Project+5+Income+Prediction.ipynb
Project+5+Income+Prediction.ipynb
Project+Network+Analysis.ipynb
Project+Network+Analysis.ipynb
Project+Predicting+Employee+Exit+with+Neural+Networks.ipynb
Project+Predicting+Employee+Exit+with+Neural+Networks.ipynb
Random Forest using TensorFlow.ipynb
Random Forest using TensorFlow.ipynb
Save & Restore.ipynb
Save & Restore.ipynb
Saving & Restoring.ipynb
Saving & Restoring.ipynb
Shakespeare Scripts Generation.ipynb
Shakespeare Scripts Generation.ipynb
TF 1 Getting Started.ipynb
TF 1 Getting Started.ipynb
TF 2 Tensor Creation.ipynb
TF 2 Tensor Creation.ipynb
TF 3 Linear Regression Matrix Inverse Method.ipynb
TF 3 Linear Regression Matrix Inverse Method.ipynb
TF 4 Learning The TensorFlow Way of Linear regression.ipynb
TF 4 Learning The TensorFlow Way of Linear regression.ipynb
TF 5 Learning The TensorFlow Way of Logistic regression.ipynb
TF 5 Learning The TensorFlow Way of Logistic regression.ipynb
TF 6 Learning The TensorFlow Way of k-means.ipynb
TF 6 Learning The TensorFlow Way of k-means.ipynb
TF 7 Neural Networks using TensorFlow.ipynb
TF 7 Neural Networks using TensorFlow.ipynb
TF 8 Titanic using Tensorflow tflearn.ipynb
TF 8 Titanic using Tensorflow tflearn.ipynb
TF1 Chapter 1.ipynb
TF1 Chapter 1.ipynb
TF10 Classification on MNIST Restore.ipynb
TF10 Classification on MNIST Restore.ipynb
TF10 Classification on MNIST Save & Restore.ipynb
TF10 Classification on MNIST Save & Restore.ipynb
TF11 - Queues, Threads & Reading Data.ipynb
TF11 - Queues, Threads & Reading Data.ipynb
TF11 Understanding Tensorboard.ipynb
TF11 Understanding Tensorboard.ipynb
TF8 Neural Networks.ipynb
TF8 Neural Networks.ipynb
TF8b Neural Networks.ipynb
TF8b Neural Networks.ipynb
TF9 Restoring Data.ipynb
TF9 Restoring Data.ipynb
TF9 Saving and Restoring -1.ipynb
TF9 Saving and Restoring -1.ipynb
TensorFlow - Linear Regression.ipynb
TensorFlow - Linear Regression.ipynb
TensorFlow - Linear SVM.ipynb
TensorFlow - Linear SVM.ipynb
TensorFlow - MNIST.ipynb
TensorFlow - MNIST.ipynb
TensorFlow - titanic.ipynb
TensorFlow - titanic.ipynb
TensorFlow 2 - Namescope.ipynb
TensorFlow 2 - Namescope.ipynb
TensorFlow 7 Linear Regression - tflearn.ipynb
TensorFlow 7 Linear Regression - tflearn.ipynb
TensorFlow LogisticRegression.ipynb
TensorFlow LogisticRegression.ipynb
TensorFlow MNIST.ipynb
TensorFlow MNIST.ipynb
TensorFlow softmax.ipynb
TensorFlow softmax.ipynb
Tensorflow - Up & Running.ipynb
Tensorflow - Up & Running.ipynb
TensowFLow 1 - Introduction.ipynb
TensowFLow 1 - Introduction.ipynb
Untitled18.ipynb
Untitled18.ipynb
adult.data.txt
adult.data.txt
adult.test.txt
adult.test.txt
char_idx.pickle
char_idx.pickle
code01.py
code01.py
code02.py
code02.py
entity.py
entity.py
graph_large_attrs_key=_too_large_attrs&limit_attr_size=1024&run= (1).png
graph_large_attrs_key=_too_large_attrs&limit_attr_size=1024&run= (1).png
house_rental.csv.txt
house_rental.csv.txt
intent.json.txt
intent.json.txt
intents.json
intents.json
movie01.txt
movie01.txt
movie02.txt
movie02.txt
nn.png
nn.png
reviews.zip
reviews.zip
sentiment-data.zip
sentiment-data.zip
shakespeare_input.txt
shakespeare_input.txt
titanic_dataset.csv
titanic_dataset.csv
zekebot- Response.ipynb
zekebot- Response.ipynb
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Understanding TensorFlow from scratch
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tensorflow
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