College Level Neural Nets [I] - Basic Nets Math & Practice!

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College Level Neural Nets [I] - Basic Nets Math & Practice!

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收录时间：2021-03-29
最近下载：2025-12-19

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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 133.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/2. Derivation Of Back Propagation - Part 2.mp4 123.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/7. More Visualization Of The Perceptron Weights - II.mp4 120.3 MB
  • [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 117.2 MB
  • [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 115.8 MB
  • [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 112.7 MB
  • [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 112.2 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/3. Proof Perceptron Convergence Theorem - Part 1.mp4 106.9 MB
  • [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 102.4 MB
  • [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 97.7 MB
  • [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 96.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/5. ROC and AUC.mp4 90.8 MB
  • [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 88.2 MB
  • [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 87.5 MB
  • [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 81.2 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/1. Regression, Overfitting, And Underfitting.mp4 80.7 MB
  • [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 79.8 MB
  • [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 77.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/2. Introduction To Reglarization.mp4 73.2 MB
  • [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 73.2 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/6. Dropout ! - Intuition.mp4 72.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/5. More Notes And filling Up.mp4 71.6 MB
  • [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 71.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/6. More Visualization For The Perceptron Weights - I.mp4 69.9 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/6. Solved Example (III) Gradient Descent Convergence.mp4 69.5 MB
  • [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 68.8 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/1. Introduction To Batch Normalization - Part 1.mp4 64.8 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/1. The Error Function.mp4 64.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/3. Adagrad And RMSProb.mp4 64.1 MB
  • [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 62.9 MB
  • [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 62.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/4. Batch Normalization Inference.mp4 60.4 MB
  • [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 60.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/5. Vectorization Of BackPropagation - Part 2.mp4 59.3 MB
  • [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 58.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/3. Forward Pass Equations For Batch Normalization.mp4 58.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/10. Types Of Machine Learning.mp4 57.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/2. The Sigmoid Activation Function Again.mp4 56.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/2. The Perceptron Learning Rule - Part 2.mp4 56.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/1. Derivation Of Back Propagation - Part 1.mp4 53.6 MB
  • [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 53.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/5. Proof Perceptron Convergence Theorem - Part 3.mp4 50.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/7. Dropout vs Inverted Dropout.mp4 50.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/3. Deriving The Gradient Descent Algorithm.mp4 50.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/2. Maximum Likelihood Estimation - Quick Overview.mp4 49.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/5. The Vanishing Gradient Problem.mp4 49.1 MB
  • [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 48.0 MB
  • [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 47.9 MB
  • [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 47.3 MB
  • [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 46.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/4. L1 vs L2 Regularization - Part 1 - Gradient Descent.mp4 44.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/3. The Perceptron Equation.mp4 44.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/9. Weight Initialization - Part 2.mp4 44.1 MB
  • [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 43.1 MB
  • [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 42.3 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/4. Vectorization Of BackPropagation - Part 1.mp4 42.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/2. Precision - Recall , And F1 Score.mp4 40.7 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/4. Precision-Recall Curve.mp4 40.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/1. Introduction To The Classification Problem.mp4 40.2 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2. Introduction To Machine Learning.mp4 38.4 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/2. Introduction To Batch Normalization - Part 2.mp4 38.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/6. Vectorization Of BackPropagation - Part 3.mp4 37.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/3. Different Ways For Regularization.mp4 37.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/1. Promo Video.mp4 35.6 MB
  • [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 35.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/6. Three Main Problems Of The Threshold Perceptron.mp4 31.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/4. Notes About Gradient Descent.mp4 31.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/11. Improving Neural Network Performance - Part (II)/5. The Softmax Activation Function.mp4 28.7 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/4. Visualization Of The Perceptron Equation.mp4 28.4 MB
  • [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 28.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/3. F1 Score vs Simple Average.mp4 27.9 MB
  • [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 27.7 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/2. A Simple Glimpse Of Overfitting.mp4 27.4 MB
  • [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 26.5 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/9. Graphical Representation Of A Neural Network.mp4 25.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/4. Proof Perceptron Convergence Theorem - Part 2.mp4 24.0 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/1. The Perceptron Learning Rule - Part 1.mp4 23.6 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/7. Vectorization Of BackPropagation - Part 4.mp4 21.1 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/8. Activation Functions.mp4 18.9 MB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2.1 WrittenNotes.rar 13.8 MB
  • [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 23.4 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/1. Regression, Overfitting, And Underfitting.srt 22.4 kB
  • [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 19.9 kB
  • [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 19.2 kB
  • [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 18.7 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/7. More Visualization Of The Perceptron Weights - II.srt 18.7 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/5. ROC and AUC.srt 18.6 kB
  • [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 18.5 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/3. Proof Perceptron Convergence Theorem - Part 1.srt 18.2 kB
  • [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 18.0 kB
  • [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 18.0 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/3. Derivation Of Back Propagation - Part 3.srt 17.3 kB
  • [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 16.9 kB
  • [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 16.8 kB
  • [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 16.4 kB
  • [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 16.0 kB
  • [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 15.6 kB
  • [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 15.5 kB
  • [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 15.5 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/1. Introduction To Batch Normalization - Part 1.srt 15.4 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/6. Solved Example (III) Gradient Descent Convergence.srt 15.3 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/2. Derivation Of Back Propagation - Part 2.srt 15.0 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/6. More Visualization For The Perceptron Weights - I.srt 14.9 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/3. Adagrad And RMSProb.srt 14.8 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/3. Forward Pass Equations For Batch Normalization.srt 14.3 kB
  • [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 14.2 kB
  • [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 13.8 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/4. Perceptron Learning !/2. The Perceptron Learning Rule - Part 2.srt 13.5 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/10. Maximum Likelihood Estimation Review/2. Maximum Likelihood Estimation - Quick Overview.srt 13.3 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/5. More Notes And filling Up.srt 13.2 kB
  • [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 12.7 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/2. Introduction To Reglarization.srt 12.3 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/6. Dropout ! - Intuition.srt 12.2 kB
  • [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 12.2 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/1. The Error Function.srt 12.2 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/10. Types Of Machine Learning.srt 12.2 kB
  • [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 11.6 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/3. Deriving The Gradient Descent Algorithm.srt 11.4 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/1. Introduction To Machine Learning/2. Introduction To Machine Learning.srt 11.2 kB
  • [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 10.8 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/6. The Back-Propagation Algorithm !/5. Vectorization Of BackPropagation - Part 2.srt 10.8 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/5. The Gradient Descent Algorithm/2. The Sigmoid Activation Function Again.srt 10.7 kB
  • [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 10.4 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/12. Batch Normalization !/4. Batch Normalization Inference.srt 10.3 kB
  • [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 10.2 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/9. Improving Neural Network Performance - Part (I)/9. Weight Initialization - Part 2.srt 10.2 kB
  • [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 10.0 kB
  • [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 9.7 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/2. The Linear Perceptron/3. The Perceptron Equation.srt 9.6 kB
  • [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 9.6 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/8. Model Performance Metrics !/4. Precision-Recall Curve.srt 9.2 kB
  • [TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!/7. Regularization !/4. L1 vs L2 Regularization - Part 1 - Gradient Descent.srt 8.9 kB
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