Updated readme links

nfmcclure · Jul 7, 2016 · 1a1253c · 1a1253c
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diff --git a/03_Linear_Regression/readme.md b/03_Linear_Regression/readme.md
@@ -1,10 +1,10 @@
 # Ch 3: Linear Regression
 
- 1. [Using the Matrix Inverse Method](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/01_lin_reg_inverse.py)
- 2. [Implementing a Decomposition Method](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/02_lin_reg_decomposition.py)
- 3. [Learning the Tensorflow Way of Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/03_lin_reg_tensorflow_way.py)
- 4. [Understanding Loss Functions in Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/04_lin_reg_l1_vs_l2.py)
- 5. [Implementing Deming Regression (Total Regression)](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/05_deming_regression.py)
- 6. [Implementing Lasso and Ridge Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/06_lasso_and_ridge_regression.py)
- 7. [Implementing Elastic Net Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/07_elasticnet_regression.py)
- 8. [Implementing Logistic Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/08_logistic_regression.py)
+ 1. [Using the Matrix Inverse Method](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/01_Using_the_Matrix_Inverse_Method)
+ 2. [Implementing a Decomposition Method](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/02_Implementing_a_Decomposition_Method)
+ 3. [Learning the Tensorflow Way of Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/03_Tensorflow_Way_of_Linear_Regression)
+ 4. [Understanding Loss Functions in Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/04_Loss_Functions_in_Linear_Regressions)
+ 5. [Implementing Deming Regression (Total Regression)](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/05_Implementing_Deming_Regression)
+ 6. [Implementing Lasso and Ridge Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/06_Implementing_Lasso_and_Ridge_Regression)
+ 7. [Implementing Elastic Net Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/07_Implementing_Elasticnet_Regression)
+ 8. [Implementing Logistic Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/08_Implementing_Logistic_Regression)
diff --git a/04_Support_Vector_Machines/readme.md b/04_Support_Vector_Machines/readme.md
@@ -1,8 +1,8 @@
 # Ch 4: Support Vector Machines
 
- 1. Introduction
- 2. [Working with Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/01_linear_svm.py)
- 3. [Reduction to Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/02_support_vector_regression.py)
- 4. [Working with Kernels in Tensorflow](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/03_svm_kernels.py)
- 5. [Implmenting Non-Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/04_nonlinear_svm.py)
- 6. [Implementing Multi-class SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/05_multiclass_svm.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/01_Introduction)
+ 2. [Working with Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/02_Working_with_Linear_SVMs)
+ 3. [Reduction to Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/03_Reduction_to_Linear_Regression)
+ 4. [Working with Kernels in Tensorflow](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/04_Working_with_Kernels)
+ 5. [Implmenting Non-Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/05_Implementing_Nonlinear_SVMs)
+ 6. [Implementing Multi-class SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/06_Implementing_Multiclass_SVMs)
diff --git a/05_Nearest_Neighbor_Methods/readme.md b/05_Nearest_Neighbor_Methods/readme.md
@@ -1,8 +1,8 @@
 # Ch 5: Nearest Neighbor Methods
 
- 1. Introduction
- 2. [Working with Nearest Neighbors](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/01_nearest_neighbor.py)
- 3. [Working with Text Based Distances](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/02_text_distances.py)
- 4. [Computing Mixing Distance Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/03_mixed_distance_functions_knn.py)
- 5. [Using Address Matching](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/04_address_matching.py)
- 6. [Using Nearest Neighbors for Image Recognition](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/05_image_recognition.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/01_Introduction)
+ 2. [Working with Nearest Neighbors](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/02_Working_with_Nearest_Neighbors)
+ 3. [Working with Text Based Distances](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/03_Working_with_Text_Distances)
+ 4. [Computing Mixing Distance Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/04_Computing_with_Mixed_Distance_Functions)
+ 5. [Using Address Matching](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/05_An_Address_Matching_Example)
+ 6. [Using Nearest Neighbors for Image Recognition](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/06_Nearest_Neighbors_for_Image_Recognition)
diff --git a/06_Neural_Networks/readme.md b/06_Neural_Networks/readme.md
@@ -1,8 +1,8 @@
 # Ch 6: Neural Networks
 
- 1. Introduction
- 2. [Implementing Operational Gates](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/01_gates.py)
- 3. [Working with Gates and Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/02_activation_functions.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/01_Introduction)
+ 2. [Implementing Operational Gates](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/02_Implementing_an_Operational_Gate)
+ 3. [Working with Gates and Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/03_Working_with_Activation_Functions)
  4. [Implmenting a One Layer Neural Network](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/03_single_hidden_layer_network.py)
  5. Implementing Different Layers
  6. Using Multi-layer Neural Networks

diff --git a/readme.md b/readme.md
@@ -9,60 +9,60 @@
 
 ## [Ch 1: Getting Started with Tensorflow](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction)
 
- 1. General Outline of TF Algorithms
- 2. [Creating and Using Tensors](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/01_tensors.py)
- 3. [Using Variables and Placeholders](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/02_placeholders.py)
- 4. [Working with Matrices](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/03_matrices.py)
- 5. [Declaring Operations](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/04_operations.py)
- 6. [Implementing Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/05_activation_functions.py)
- 7. [Working with Data Sources](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/01_Introduction/06_data_gathering.py)
- 8. Additional Resources
+  1. [General Outline of TF Algorithms](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/01_How_Tensorflow_Works)
+ 2. [Creating and Using Tensors](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/02_Creating_and_Using_Tensors)
+ 3. [Using Variables and Placeholders](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/03_Using_Variables_and_Placeholders)
+ 4. [Working with Matrices](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/04_Working_with_Matrices)
+ 5. [Declaring Operations](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/05_Declaring_Operations)
+ 6. [Implementing Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/06_Implementing_Activation_Functions)
+ 7. [Working with Data Sources](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/07_Working_with_Data_Sources)
+ 8. [Additional Resources](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/01_Introduction/08_Additional_Resources)
 
 ## [Ch 2: The Tensorflow Way](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way)
 
- 1. [One Operation as a Computational Graph](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/01_operations_on_a_graph.py)
- 2. [Layering Nested Operations](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/02_layering_nested_operations.py)
- 3. [Working with Multiple Layers](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/03_multiple_layers.py)
- 4. [Implmenting Loss Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/04_loss_functions.py)
- 5. [Implmenting Back Propagation](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/05_back_propagation.py)
- 6. [Working with Stochastic and Batch Training](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/06_batch_stochastic_training.py)
- 7. [Combining Everything Together](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/07_combining_everything_together.py)
- 8. [Evaluating Models](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/02_Tensorflow_Way/08_evaluating_models.py)
+  1. [One Operation as a Computational Graph](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/01_Operations_as_a_Computational_Graph)
+ 2. [Layering Nested Operations](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/02_Layering_Nested_Operations)
+ 3. [Working with Multiple Layers](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/03_Working_with_Multiple_Layers)
+ 4. [Implmenting Loss Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/04_Implementing_Loss_Functions)
+ 5. [Implmenting Back Propagation](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/05_Implementing_Back_Propagation)
+ 6. [Working with Stochastic and Batch Training](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/06_Working_with_Batch_and_Stochastic_Training)
+ 7. [Combining Everything Together](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/07_Combining_Everything_Together)
+ 8. [Evaluating Models](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/02_Tensorflow_Way/08_Evaluating_Models)
 
 ## [Ch 3: Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression)
 
- 1. [Using the Matrix Inverse Method](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/01_lin_reg_inverse.py)
- 2. [Implementing a Decomposition Method](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/02_lin_reg_decomposition.py)
- 3. [Learning the Tensorflow Way of Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/03_lin_reg_tensorflow_way.py)
- 4. [Understanding Loss Functions in Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/04_lin_reg_l1_vs_l2.py)
- 5. [Implementing Deming Regression (Total Regression)](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/05_deming_regression.py)
- 6. [Implementing Lasso and Ridge Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/06_lasso_and_ridge_regression.py)
- 7. [Implementing Elastic Net Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/07_elasticnet_regression.py)
- 8. [Implementing Logistic Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/03_Linear_Regression/08_logistic_regression.py)
+  1. [Using the Matrix Inverse Method](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/01_Using_the_Matrix_Inverse_Method)
+ 2. [Implementing a Decomposition Method](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/02_Implementing_a_Decomposition_Method)
+ 3. [Learning the Tensorflow Way of Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/03_Tensorflow_Way_of_Linear_Regression)
+ 4. [Understanding Loss Functions in Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/04_Loss_Functions_in_Linear_Regressions)
+ 5. [Implementing Deming Regression (Total Regression)](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/05_Implementing_Deming_Regression)
+ 6. [Implementing Lasso and Ridge Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/06_Implementing_Lasso_and_Ridge_Regression)
+ 7. [Implementing Elastic Net Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/07_Implementing_Elasticnet_Regression)
+ 8. [Implementing Logistic Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/03_Linear_Regression/08_Implementing_Logistic_Regression)
 
 ## [Ch 4: Support Vector Machines](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines)
 
- 1. Introduction
- 2. [Working with Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/01_linear_svm.py)
- 3. [Reduction to Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/02_support_vector_regression.py)
- 4. [Working with Kernels in Tensorflow](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/03_svm_kernels.py)
- 5. [Implmenting Non-Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/04_nonlinear_svm.py)
- 6. [Implementing Multi-class SVMs](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/04_Support_Vector_Machines/05_multiclass_svm.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/01_Introduction)
+ 2. [Working with Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/02_Working_with_Linear_SVMs)
+ 3. [Reduction to Linear Regression](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/03_Reduction_to_Linear_Regression)
+ 4. [Working with Kernels in Tensorflow](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/04_Working_with_Kernels)
+ 5. [Implmenting Non-Linear SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/05_Implementing_Nonlinear_SVMs)
+ 6. [Implementing Multi-class SVMs](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/04_Support_Vector_Machines/06_Implementing_Multiclass_SVMs)
 
 ## [Ch 5: Nearest Neighbor Methods](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods)
 
- 1. Introduction
- 2. [Working with Nearest Neighbors](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/01_nearest_neighbor.py)
- 3. [Working with Text Based Distances](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/02_text_distances.py)
- 4. [Computing Mixing Distance Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/03_mixed_distance_functions_knn.py)
- 5. [Using Address Matching](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/04_address_matching.py)
- 6. [Using Nearest Neighbors for Image Recognition](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/05_Nearest_Neighbor_Methods/05_image_recognition.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/01_Introduction)
+ 2. [Working with Nearest Neighbors](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/02_Working_with_Nearest_Neighbors)
+ 3. [Working with Text Based Distances](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/03_Working_with_Text_Distances)
+ 4. [Computing Mixing Distance Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/04_Computing_with_Mixed_Distance_Functions)
+ 5. [Using Address Matching](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/05_An_Address_Matching_Example)
+ 6. [Using Nearest Neighbors for Image Recognition](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/05_Nearest_Neighbor_Methods/06_Nearest_Neighbors_for_Image_Recognition)
 
 ## [Ch 6: Neural Networks](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks)
 
- 1. Introduction
- 2. [Implementing Operational Gates](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/01_gates.py)
- 3. [Working with Gates and Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/02_activation_functions.py)
+ 1. [Introduction](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/01_Introduction)
+ 2. [Implementing Operational Gates](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/02_Implementing_an_Operational_Gate)
+ 3. [Working with Gates and Activation Functions](https://github.com/nfmcclure/tensorflow_cookbook/tree/master/06_Neural_Networks/03_Working_with_Activation_Functions)
  4. [Implmenting a One Layer Neural Network](https://github.com/nfmcclure/tensorflow_cookbook/blob/master/06_Neural_Networks/03_single_hidden_layer_network.py)
  5. Implementing Different Layers
  6. Using Multi-layer Neural Networks