College Level Neural Nets [I] - Basic Nets Math & Practice!
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文件列表
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/3. Derivation Of Back Propagation - Part 3.mp4 127MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/2. Derivation Of Back Propagation - Part 2.mp4 117MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/7. More Visualization Of The Perceptron Weights - II.mp4 115MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/2. Solved Example (II) MLP Design Graphically.mp4 112MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/6. Derivation Of Back Propagation Though Batch Normalization - Part 2.mp4 110MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/6. BackPropagation Derivation For The Softmax Activation Function.mp4 107MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.mp4 107MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/3. Proof Perceptron Convergence Theorem - Part 1.mp4 102MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/1. Introduction To Multi-Layer Perceptrons.mp4 98MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/5. The XOR Problem - Part 1.mp4 93MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/7. MultiClass Classification And The Sigmoid Activation.mp4 92MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/5. ROC and AUC.mp4 87MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/11. Solved Example (I) Single Layer Perceptron Designed Graphically.mp4 84MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/10. Changing Activation Functions - Tanh - Relu - LeakyRelu.mp4 83MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/5. Derivation Of Back Propagation Through Batch Normalization - Part (I).mp4 77MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/1. Regression, Overfitting, And Underfitting.mp4 77MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.mp4 76MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/2. The Cross Entropy Cost Function - Derivation.mp4 73MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/2. Introduction To Reglarization.mp4 70MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/3. Intuition Of Multi-Layer Perceptrons - Part 1.mp4 70MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/6. Dropout ! - Intuition.mp4 69MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/5. More Notes And filling Up.mp4 68MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/4. Intuition Of Multi-Layer Perceptrons - Part 2.mp4 68MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/6. More Visualization For The Perceptron Weights - I.mp4 67MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/6. Solved Example (III) Gradient Descent Convergence.mp4 66MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/4. Adam And Learning Rate Decay.mp4 66MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/1. Introduction To Batch Normalization - Part 1.mp4 62MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/1. The Error Function.mp4 61MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/3. Adagrad And RMSProb.mp4 61MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.mp4 60MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/2. Gradient Descent With Momentum - Part 2.mp4 59MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/4. Batch Normalization Inference.mp4 58MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/5. Proof Weight Vector Is Perpendicular To The Decision Boundary.mp4 58MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/5. Vectorization Of BackPropagation - Part 2.mp4 57MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/4. Cross Entropy In Multi-Class Problems.mp4 56MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/3. Forward Pass Equations For Batch Normalization.mp4 56MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/10. Types Of Machine Learning.mp4 55MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/2. The Sigmoid Activation Function Again.mp4 54MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/2. The Perceptron Learning Rule - Part 2.mp4 53MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/1. Derivation Of Back Propagation - Part 1.mp4 51MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .mp4 51MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/5. Proof Perceptron Convergence Theorem - Part 3.mp4 48MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/7. Dropout vs Inverted Dropout.mp4 48MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/3. Deriving The Gradient Descent Algorithm.mp4 48MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/2. Maximum Likelihood Estimation - Quick Overview.mp4 47MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/5. The Vanishing Gradient Problem.mp4 47MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/1. Gradient Descent With Momentum - Part 1.mp4 46MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/3. The Cross Entropy & The Vanishing Gradient Problem.mp4 46MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/1. The Sigmoid And Bernoulli Distribution.mp4 45MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .mp4 44MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/4. L1 vs L2 Regularization - Part 1 - Gradient Descent.mp4 42MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/3. The Perceptron Equation.mp4 42MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/9. Weight Initialization - Part 2.mp4 42MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/8. Weight Initialization - Part 1 - The Symmetry Problem.mp4 41MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/7. Input Centering And Normalization - Part 2.mp4 40MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/4. Vectorization Of BackPropagation - Part 1.mp4 40MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/2. Precision - Recall , And F1 Score.mp4 39MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/4. Precision-Recall Curve.mp4 38MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/1. Introduction To The Classification Problem.mp4 38MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2. Introduction To Machine Learning.mp4 37MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/2. Introduction To Batch Normalization - Part 2.mp4 36MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/6. Vectorization Of BackPropagation - Part 3.mp4 36MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/3. Different Ways For Regularization.mp4 36MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/1. Promo Video.mp4 34MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/6. The XOR Problem - Part 2.mp4 33MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/6. Three Main Problems Of The Threshold Perceptron.mp4 30MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/4. Notes About Gradient Descent.mp4 30MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/5. The Softmax Activation Function.mp4 27MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/4. Visualization Of The Perceptron Equation.mp4 27MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/8. Vectorized Notation And The Weight Matrix.mp4 27MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/3. F1 Score vs Simple Average.mp4 27MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/7. Solved Example (IIII) MLP With Linear Activations.mp4 26MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/2. A Simple Glimpse Of Overfitting.mp4 26MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/6. Input Centering And Normalization - Part 1.mp4 25MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/9. Graphical Representation Of A Neural Network.mp4 24MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/4. Proof Perceptron Convergence Theorem - Part 2.mp4 23MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/1. The Perceptron Learning Rule - Part 1.mp4 22MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/7. Vectorization Of BackPropagation - Part 4.mp4 20MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/8. Activation Functions.mp4 18MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2.1 WrittenNotes.rar 13MB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.srt 23KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/1. Regression, Overfitting, And Underfitting.srt 22KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/5. The XOR Problem - Part 1.srt 19KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/10. Changing Activation Functions - Tanh - Relu - LeakyRelu.srt 19KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/1. Introduction To Multi-Layer Perceptrons.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/7. More Visualization Of The Perceptron Weights - II.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/5. ROC and AUC.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/6. BackPropagation Derivation For The Softmax Activation Function.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/3. Proof Perceptron Convergence Theorem - Part 1.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/7. MultiClass Classification And The Sigmoid Activation.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/6. Derivation Of Back Propagation Though Batch Normalization - Part 2.srt 18KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/3. Derivation Of Back Propagation - Part 3.srt 17KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/2. Solved Example (II) MLP Design Graphically.srt 17KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/2. The Cross Entropy Cost Function - Derivation.srt 16KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/2. Gradient Descent With Momentum - Part 2.srt 16KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.srt 16KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/11. Solved Example (I) Single Layer Perceptron Designed Graphically.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/4. Adam And Learning Rate Decay.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/5. Derivation Of Back Propagation Through Batch Normalization - Part (I).srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/1. Introduction To Batch Normalization - Part 1.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/6. Solved Example (III) Gradient Descent Convergence.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/2. Derivation Of Back Propagation - Part 2.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/6. More Visualization For The Perceptron Weights - I.srt 15KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/3. Adagrad And RMSProb.srt 14KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/3. Forward Pass Equations For Batch Normalization.srt 14KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/3. Intuition Of Multi-Layer Perceptrons - Part 1.srt 14KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .srt 14KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/2. The Perceptron Learning Rule - Part 2.srt 13KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/2. Maximum Likelihood Estimation - Quick Overview.srt 13KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/5. More Notes And filling Up.srt 13KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/4. Cross Entropy In Multi-Class Problems.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/2. Introduction To Reglarization.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/6. Dropout ! - Intuition.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/1. Gradient Descent With Momentum - Part 1.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/1. The Error Function.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/10. Types Of Machine Learning.srt 12KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/4. Intuition Of Multi-Layer Perceptrons - Part 2.srt 11KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/3. Deriving The Gradient Descent Algorithm.srt 11KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2. Introduction To Machine Learning.srt 11KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.srt 11KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/5. Vectorization Of BackPropagation - Part 2.srt 11KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/2. The Sigmoid Activation Function Again.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/7. Input Centering And Normalization - Part 2.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/4. Batch Normalization Inference.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/8. Weight Initialization - Part 1 - The Symmetry Problem.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/9. Weight Initialization - Part 2.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/3. The Cross Entropy & The Vanishing Gradient Problem.srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .srt 10KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/3. The Perceptron Equation.srt 9KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/5. Proof Weight Vector Is Perpendicular To The Decision Boundary.srt 9KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/4. Precision-Recall Curve.srt 9KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/4. L1 vs L2 Regularization - Part 1 - Gradient Descent.srt 9KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/1. Introduction To The Classification Problem.srt 9KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/5. The Vanishing Gradient Problem.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/2. Introduction To Batch Normalization - Part 2.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/1. Derivation Of Back Propagation - Part 1.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/1. The Sigmoid And Bernoulli Distribution.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/6. Three Main Problems Of The Threshold Perceptron.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/2. Precision - Recall , And F1 Score.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/5. Proof Perceptron Convergence Theorem - Part 3.srt 8KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/3. F1 Score vs Simple Average.srt 7KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/6. The XOR Problem - Part 2.srt 7KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/6. Input Centering And Normalization - Part 1.srt 7KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/1. The Perceptron Learning Rule - Part 1.srt 7KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/4. Notes About Gradient Descent.srt 7KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/3. Different Ways For Regularization.srt 6KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/7. Dropout vs Inverted Dropout.srt 6KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/9. Graphical Representation Of A Neural Network.srt 6KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/4. Vectorization Of BackPropagation - Part 1.srt 6KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/4. Proof Perceptron Convergence Theorem - Part 2.srt 6KB
- [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/2. A Simple Glimpse Of Overfitting.srt 6KB
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