Download Udemy - College Level Neural Nets [I] – Basic Nets: Math & Practice! Torrent

Torrent Contents Size: 4.39 GB

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

TutsNode.com.txt

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

1. Introduction To Machine Learning

1. Promo Video.mp4	MP4	33.92 MB
1. Promo Video.srt	SRT	1.99 KB
2. Introduction To Machine Learning.mp4	MP4	36.62 MB
2. Introduction To Machine Learning.srt	SRT	10.9 KB
2.1 WrittenNotes.rar	RAR	13.15 MB

10. Maximum Likelihood Estimation Review

1. Source Of Those Lectures.html	HTML	256 B
2. Maximum Likelihood Estimation - Quick Overview.mp4	MP4	47.21 MB
2. Maximum Likelihood Estimation - Quick Overview.srt	SRT	12.94 KB
3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.mp4	MP4	60 MB
3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.srt	SRT	10.53 KB

11. Improving Neural Network Performance - Part (II)

1. The Sigmoid And Bernoulli Distribution.mp4	MP4	45.1 MB
1. The Sigmoid And Bernoulli Distribution.srt	SRT	7.93 KB
2. The Cross Entropy Cost Function - Derivation.mp4	MP4	73.42 MB
2. The Cross Entropy Cost Function - Derivation.srt	SRT	16.39 KB
3. The Cross Entropy & The Vanishing Gradient Problem.mp4	MP4	45.63 MB
3. The Cross Entropy & The Vanishing Gradient Problem.srt	SRT	9.78 KB
4. Cross Entropy In Multi-Class Problems.mp4	MP4	55.93 MB
4. Cross Entropy In Multi-Class Problems.srt	SRT	12.38 KB
5. The Softmax Activation Function.mp4	MP4	27.38 MB
5. The Softmax Activation Function.srt	SRT	5 KB
6. BackPropagation Derivation For The Softmax Activation Function.mp4	MP4	107.45 MB
6. BackPropagation Derivation For The Softmax Activation Function.srt	SRT	18.11 KB
7. Notes About Softmax.html	HTML	1.55 KB

12. Batch Normalization !

1. Introduction To Batch Normalization - Part 1.mp4	MP4	61.82 MB
1. Introduction To Batch Normalization - Part 1.srt	SRT	15.08 KB
2. Introduction To Batch Normalization - Part 2.mp4	MP4	36.34 MB
2. Introduction To Batch Normalization - Part 2.srt	SRT	8.01 KB
3. Forward Pass Equations For Batch Normalization.mp4	MP4	55.84 MB
3. Forward Pass Equations For Batch Normalization.srt	SRT	14 KB
4. Batch Normalization Inference.mp4	MP4	57.62 MB
4. Batch Normalization Inference.srt	SRT	10.11 KB
5. Derivation Of Back Propagation Through Batch Normalization - Part (I).mp4	MP4	77.41 MB
5. Derivation Of Back Propagation Through Batch Normalization - Part (I).srt	SRT	15.11 KB
6. Derivation Of Back Propagation Though Batch Normalization - Part 2.mp4	MP4	110.4 MB
6. Derivation Of Back Propagation Though Batch Normalization - Part 2.srt	SRT	17.54 KB

13. Get My Other Courses !

1. Get My Other Courses !.html

HTML

1.88 KB

2. The Linear Perceptron

1. Introduction To The Classification Problem.mp4	MP4	38.31 MB
1. Introduction To The Classification Problem.srt	SRT	8.56 KB
10. Types Of Machine Learning.mp4	MP4	54.94 MB
10. Types Of Machine Learning.srt	SRT	11.91 KB
11. Solved Example (I) Single Layer Perceptron Designed Graphically.mp4	MP4	84.11 MB
11. Solved Example (I) Single Layer Perceptron Designed Graphically.srt	SRT	15.22 KB
2. A Simple Glimpse Of Overfitting.mp4	MP4	26.15 MB
2. A Simple Glimpse Of Overfitting.srt	SRT	5.88 KB
3. The Perceptron Equation.mp4	MP4	42.41 MB
3. The Perceptron Equation.srt	SRT	9.4 KB
4. Visualization Of The Perceptron Equation.mp4	MP4	27.12 MB
4. Visualization Of The Perceptron Equation.srt	SRT	5.53 KB
5. Proof Weight Vector Is Perpendicular To The Decision Boundary.mp4	MP4	57.6 MB
5. Proof Weight Vector Is Perpendicular To The Decision Boundary.srt	SRT	9.37 KB
6. More Visualization For The Perceptron Weights - I.mp4	MP4	66.69 MB
6. More Visualization For The Perceptron Weights - I.srt	SRT	14.52 KB
7. More Visualization Of The Perceptron Weights - II.mp4	MP4	114.75 MB
7. More Visualization Of The Perceptron Weights - II.srt	SRT	18.27 KB
8. Activation Functions.mp4	MP4	18 MB
8. Activation Functions.srt	SRT	4.84 KB
9. Graphical Representation Of A Neural Network.mp4	MP4	24.37 MB
9. Graphical Representation Of A Neural Network.srt	SRT	6.16 KB

3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)

1. Introduction To Multi-Layer Perceptrons.mp4	MP4	97.61 MB
1. Introduction To Multi-Layer Perceptrons.srt	SRT	18.29 KB
2. Solved Example (II) MLP Design Graphically.mp4	MP4	111.76 MB
2. Solved Example (II) MLP Design Graphically.srt	SRT	16.54 KB
3. Intuition Of Multi-Layer Perceptrons - Part 1.mp4	MP4	69.82 MB
3. Intuition Of Multi-Layer Perceptrons - Part 1.srt	SRT	13.88 KB
4. Intuition Of Multi-Layer Perceptrons - Part 2.mp4	MP4	68.05 MB
4. Intuition Of Multi-Layer Perceptrons - Part 2.srt	SRT	11.31 KB
5. The XOR Problem - Part 1.mp4	MP4	93.19 MB
5. The XOR Problem - Part 1.srt	SRT	19.42 KB
6. The XOR Problem - Part 2.mp4	MP4	33.33 MB
6. The XOR Problem - Part 2.srt	SRT	6.94 KB
7. MultiClass Classification And The Sigmoid Activation.mp4	MP4	92.16 MB
7. MultiClass Classification And The Sigmoid Activation.srt	SRT	17.59 KB
8. Vectorized Notation And The Weight Matrix.mp4	MP4	26.67 MB
8. Vectorized Notation And The Weight Matrix.srt	SRT	3.15 KB

4. Perceptron Learning !

1. The Perceptron Learning Rule - Part 1.mp4	MP4	22.47 MB
1. The Perceptron Learning Rule - Part 1.srt	SRT	6.69 KB
2. The Perceptron Learning Rule - Part 2.mp4	MP4	53.44 MB
2. The Perceptron Learning Rule - Part 2.srt	SRT	13.14 KB
3. Proof Perceptron Convergence Theorem - Part 1.mp4	MP4	101.96 MB
3. Proof Perceptron Convergence Theorem - Part 1.srt	SRT	17.8 KB
4. Proof Perceptron Convergence Theorem - Part 2.mp4	MP4	22.93 MB
4. Proof Perceptron Convergence Theorem - Part 2.srt	SRT	5.97 KB
5. Proof Perceptron Convergence Theorem - Part 3.mp4	MP4	48.07 MB
5. Proof Perceptron Convergence Theorem - Part 3.srt	SRT	7.6 KB
6. Three Main Problems Of The Threshold Perceptron.mp4	MP4	30.16 MB
6. Three Main Problems Of The Threshold Perceptron.srt	SRT	7.67 KB

5. The Gradient Descent Algorithm

1. The Error Function.mp4	MP4	61.42 MB
1. The Error Function.srt	SRT	11.92 KB
2. The Sigmoid Activation Function Again.mp4	MP4	53.77 MB
2. The Sigmoid Activation Function Again.srt	SRT	10.42 KB
3. Deriving The Gradient Descent Algorithm.mp4	MP4	47.76 MB
3. Deriving The Gradient Descent Algorithm.srt	SRT	11.15 KB
4. Notes About Gradient Descent.mp4	MP4	29.69 MB
4. Notes About Gradient Descent.srt	SRT	6.56 KB
5. More Notes And filling Up.mp4	MP4	68.25 MB
5. More Notes And filling Up.srt	SRT	12.85 KB
6. Solved Example (III) Gradient Descent Convergence.mp4	MP4	66.31 MB
6. Solved Example (III) Gradient Descent Convergence.srt	SRT	14.9 KB
7. Solved Example (IIII) MLP With Linear Activations.mp4	MP4	26.41 MB
7. Solved Example (IIII) MLP With Linear Activations.srt	SRT	4.52 KB

6. The Back-Propagation Algorithm !

1. Derivation Of Back Propagation - Part 1.mp4	MP4	51.12 MB
1. Derivation Of Back Propagation - Part 1.srt	SRT	7.98 KB
2. Derivation Of Back Propagation - Part 2.mp4	MP4	117.32 MB
2. Derivation Of Back Propagation - Part 2.srt	SRT	14.68 KB
3. Derivation Of Back Propagation - Part 3.mp4	MP4	127.44 MB
3. Derivation Of Back Propagation - Part 3.srt	SRT	16.91 KB
4. Vectorization Of BackPropagation - Part 1.mp4	MP4	40.05 MB
4. Vectorization Of BackPropagation - Part 1.srt	SRT	6.01 KB
5. Vectorization Of BackPropagation - Part 2.mp4	MP4	56.54 MB
5. Vectorization Of BackPropagation - Part 2.srt	SRT	10.53 KB
6. Vectorization Of BackPropagation - Part 3.mp4	MP4	35.9 MB
6. Vectorization Of BackPropagation - Part 3.srt	SRT	5.8 KB
7. Vectorization Of BackPropagation - Part 4.mp4	MP4	20.1 MB
7. Vectorization Of BackPropagation - Part 4.srt	SRT	3.36 KB
8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.mp4	MP4	76.11 MB
8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.srt	SRT	15.62 KB

7. Regularization !

1. Regression, Overfitting, And Underfitting.mp4	MP4	76.96 MB
1. Regression, Overfitting, And Underfitting.srt	SRT	21.92 KB
2. Introduction To Reglarization.mp4	MP4	69.84 MB
2. Introduction To Reglarization.srt	SRT	12.04 KB
3. Different Ways For Regularization.mp4	MP4	35.73 MB
3. Different Ways For Regularization.srt	SRT	6.5 KB
4. L1 vs L2 Regularization - Part 1 - Gradient Descent.mp4	MP4	42.44 MB
4. L1 vs L2 Regularization - Part 1 - Gradient Descent.srt	SRT	8.65 KB
5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.mp4	MP4	107.01 MB
5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.srt	SRT	22.85 KB
6. Dropout ! - Intuition.mp4	MP4	68.73 MB
6. Dropout ! - Intuition.srt	SRT	11.96 KB
7. Dropout vs Inverted Dropout.mp4	MP4	47.8 MB
7. Dropout vs Inverted Dropout.srt	SRT	6.26 KB
8. Dropout in a nutshell.html	HTML	326 B
9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .mp4	MP4	50.68 MB
9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .srt	SRT	13.52 KB

8. Model Performance Metrics !

1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .mp4	MP4	44.3 MB
1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .srt	SRT	9.52 KB
2. Precision - Recall , And F1 Score.mp4	MP4	38.81 MB
2. Precision - Recall , And F1 Score.srt	SRT	7.65 KB
3. F1 Score vs Simple Average.mp4	MP4	26.62 MB
3. F1 Score vs Simple Average.srt	SRT	7.02 KB
4. Precision-Recall Curve.mp4	MP4	38.5 MB
4. Precision-Recall Curve.srt	SRT	9.01 KB
5. ROC and AUC.mp4	MP4	86.58 MB
5. ROC and AUC.srt	SRT	18.13 KB

9. Improving Neural Network Performance - Part (I)

1. Gradient Descent With Momentum - Part 1.mp4	MP4	45.78 MB
1. Gradient Descent With Momentum - Part 1.srt	SRT	11.93 KB
10. Changing Activation Functions - Tanh - Relu - LeakyRelu.mp4	MP4	83.41 MB
10. Changing Activation Functions - Tanh - Relu - LeakyRelu.srt	SRT	18.78 KB
2. Gradient Descent With Momentum - Part 2.mp4	MP4	59.47 MB
2. Gradient Descent With Momentum - Part 2.srt	SRT	15.97 KB
3. Adagrad And RMSProb.mp4	MP4	61.16 MB
3. Adagrad And RMSProb.srt	SRT	14.44 KB
4. Adam And Learning Rate Decay.mp4	MP4	65.6 MB
4. Adam And Learning Rate Decay.srt	SRT	15.14 KB
5. The Vanishing Gradient Problem.mp4	MP4	46.87 MB
5. The Vanishing Gradient Problem.srt	SRT	8.04 KB
6. Input Centering And Normalization - Part 1.mp4	MP4	25.23 MB
6. Input Centering And Normalization - Part 1.srt	SRT	6.69 KB
7. Input Centering And Normalization - Part 2.mp4	MP4	40.33 MB
7. Input Centering And Normalization - Part 2.srt	SRT	10.17 KB
8. Weight Initialization - Part 1 - The Symmetry Problem.mp4	MP4	41.14 MB
8. Weight Initialization - Part 1 - The Symmetry Problem.srt	SRT	9.97 KB
9. Weight Initialization - Part 2.mp4	MP4	42.08 MB
9. Weight Initialization - Part 2.srt	SRT	9.93 KB

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

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