College Level Neural Nets Basic Nets Math Practice | CB5D4D36E5211DDDF93F102D9C2A452E1D0BB55D

College Level Neural Nets Basic Nets Math Practice

Name	College Level Neural Nets [I] - Basic Nets Math & Practice!	DOWNLOAD Copy Link
Total Size	4.7 GB
Total Files	165
Last Seen	2024-10-04 23:33
Hash	CB5D4D36E5211DDDF93F102D9C2A452E1D0BB55D

/.../6. The Back-Propagation Algorithm !/
3. Derivation Of Back Propagation - Part 3.mp4	133.6 MB
1. Derivation Of Back Propagation - Part 1.mp4	53.6 MB
1. Derivation Of Back Propagation - Part 1.srt	8.2 KB
2. Derivation Of Back Propagation - Part 2.mp4	123.0 MB
2. Derivation Of Back Propagation - Part 2.srt	15.0 KB
3. Derivation Of Back Propagation - Part 3.srt	17.3 KB
4. Vectorization Of BackPropagation - Part 1.mp4	42.0 MB
4. Vectorization Of BackPropagation - Part 1.srt	6.2 KB
5. Vectorization Of BackPropagation - Part 2.mp4	59.3 MB
5. Vectorization Of BackPropagation - Part 2.srt	10.8 KB
6. Vectorization Of BackPropagation - Part 3.mp4	37.6 MB
6. Vectorization Of BackPropagation - Part 3.srt	5.9 KB
7. Vectorization Of BackPropagation - Part 4.mp4	21.1 MB
7. Vectorization Of BackPropagation - Part 4.srt	3.4 KB
8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.mp4	79.8 MB
8. Vectorization Of BackPropagation - Part 5 - Batch Vectorization.srt	16.0 KB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../1. Introduction To Machine Learning/
1. Promo Video.mp4	35.6 MB
1. Promo Video.srt	2.0 KB
2. Introduction To Machine Learning.mp4	38.4 MB
2. Introduction To Machine Learning.srt	11.2 KB
2.1 WrittenNotes.rar	13.8 MB
/.../2. The Linear Perceptron/
1. Introduction To The Classification Problem.mp4	40.2 MB
1. Introduction To The Classification Problem.srt	8.8 KB
2. A Simple Glimpse Of Overfitting.mp4	27.4 MB
2. A Simple Glimpse Of Overfitting.srt	6.0 KB
3. The Perceptron Equation.mp4	44.5 MB
3. The Perceptron Equation.srt	9.6 KB
4. Visualization Of The Perceptron Equation.mp4	28.4 MB
4. Visualization Of The Perceptron Equation.srt	5.7 KB
5. Proof Weight Vector Is Perpendicular To The Decision Boundary.mp4	60.4 MB
5. Proof Weight Vector Is Perpendicular To The Decision Boundary.srt	9.6 KB
6. More Visualization For The Perceptron Weights - I.mp4	69.9 MB
6. More Visualization For The Perceptron Weights - I.srt	14.9 KB
7. More Visualization Of The Perceptron Weights - II.mp4	120.3 MB
7. More Visualization Of The Perceptron Weights - II.srt	18.7 KB
8. Activation Functions.mp4	18.9 MB
8. Activation Functions.srt	5.0 KB
9. Graphical Representation Of A Neural Network.mp4	25.6 MB
9. Graphical Representation Of A Neural Network.srt	6.3 KB
10. Types Of Machine Learning.mp4	57.6 MB
10. Types Of Machine Learning.srt	12.2 KB
11. Solved Example (I) Single Layer Perceptron Designed Graphically.mp4	88.2 MB
11. Solved Example (I) Single Layer Perceptron Designed Graphically.srt	15.6 KB
/.../3. Non-Linearly Separable Data And The Multi Layer Perceptron (MLP)/
1. Introduction To Multi-Layer Perceptrons.mp4	102.4 MB
1. Introduction To Multi-Layer Perceptrons.srt	18.7 KB
2. Solved Example (II) MLP Design Graphically.mp4	117.2 MB
2. Solved Example (II) MLP Design Graphically.srt	16.9 KB
3. Intuition Of Multi-Layer Perceptrons - Part 1.mp4	73.2 MB
3. Intuition Of Multi-Layer Perceptrons - Part 1.srt	14.2 KB
4. Intuition Of Multi-Layer Perceptrons - Part 2.mp4	71.4 MB
4. Intuition Of Multi-Layer Perceptrons - Part 2.srt	11.6 KB
5. The XOR Problem - Part 1.mp4	97.7 MB
5. The XOR Problem - Part 1.srt	19.9 KB
6. The XOR Problem - Part 2.mp4	35.0 MB
6. The XOR Problem - Part 2.srt	7.1 KB
7. MultiClass Classification And The Sigmoid Activation.mp4	96.6 MB
7. MultiClass Classification And The Sigmoid Activation.srt	18.0 KB
8. Vectorized Notation And The Weight Matrix.mp4	28.0 MB
8. Vectorized Notation And The Weight Matrix.srt	3.2 KB
/4. Perceptron Learning !/
1. The Perceptron Learning Rule - Part 1.mp4	23.6 MB
1. The Perceptron Learning Rule - Part 1.srt	6.9 KB
2. The Perceptron Learning Rule - Part 2.mp4	56.0 MB
2. The Perceptron Learning Rule - Part 2.srt	13.5 KB
3. Proof Perceptron Convergence Theorem - Part 1.mp4	106.9 MB
3. Proof Perceptron Convergence Theorem - Part 1.srt	18.2 KB
4. Proof Perceptron Convergence Theorem - Part 2.mp4	24.0 MB
4. Proof Perceptron Convergence Theorem - Part 2.srt	6.1 KB
5. Proof Perceptron Convergence Theorem - Part 3.mp4	50.4 MB
5. Proof Perceptron Convergence Theorem - Part 3.srt	7.8 KB
6. Three Main Problems Of The Threshold Perceptron.mp4	31.6 MB
6. Three Main Problems Of The Threshold Perceptron.srt	7.9 KB
/.../5. The Gradient Descent Algorithm/
1. The Error Function.mp4	64.4 MB
1. The Error Function.srt	12.2 KB
2. The Sigmoid Activation Function Again.mp4	56.4 MB
2. The Sigmoid Activation Function Again.srt	10.7 KB
3. Deriving The Gradient Descent Algorithm.mp4	50.1 MB
3. Deriving The Gradient Descent Algorithm.srt	11.4 KB
4. Notes About Gradient Descent.mp4	31.1 MB
4. Notes About Gradient Descent.srt	6.7 KB
5. More Notes And filling Up.mp4	71.6 MB
5. More Notes And filling Up.srt	13.2 KB
6. Solved Example (III) Gradient Descent Convergence.mp4	69.5 MB
6. Solved Example (III) Gradient Descent Convergence.srt	15.3 KB
7. Solved Example (IIII) MLP With Linear Activations.mp4	27.7 MB
7. Solved Example (IIII) MLP With Linear Activations.srt	4.6 KB
/7. Regularization !/
1. Regression, Overfitting, And Underfitting.mp4	80.7 MB
1. Regression, Overfitting, And Underfitting.srt	22.4 KB
2. Introduction To Reglarization.mp4	73.2 MB
2. Introduction To Reglarization.srt	12.3 KB
3. Different Ways For Regularization.mp4	37.5 MB
3. Different Ways For Regularization.srt	6.7 KB
4. L1 vs L2 Regularization - Part 1 - Gradient Descent.mp4	44.5 MB
4. L1 vs L2 Regularization - Part 1 - Gradient Descent.srt	8.9 KB
5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.mp4	112.2 MB
5. L1 vs L2 Regularization -Part 2 - Numerical, Intuitive, And Graphical Comparison.srt	23.4 KB
6. Dropout ! - Intuition.mp4	72.1 MB
6. Dropout ! - Intuition.srt	12.2 KB
7. Dropout vs Inverted Dropout.mp4	50.1 MB
7. Dropout vs Inverted Dropout.srt	6.4 KB
8. Dropout in a nutshell.html	0.3 KB
9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .mp4	53.1 MB
9. Cross-Validation How Do I Know I Am Overfitting Or Underfitting .srt	13.8 KB
/.../8. Model Performance Metrics !/
1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .mp4	46.5 MB
1. Class Imbalance - Why Is Accuracy Not Always The Best Metric .srt	9.7 KB
2. Precision - Recall , And F1 Score.mp4	40.7 MB
2. Precision - Recall , And F1 Score.srt	7.8 KB
3. F1 Score vs Simple Average.mp4	27.9 MB
3. F1 Score vs Simple Average.srt	7.2 KB
4. Precision-Recall Curve.mp4	40.4 MB
4. Precision-Recall Curve.srt	9.2 KB
5. ROC and AUC.mp4	90.8 MB
5. ROC and AUC.srt	18.6 KB
/.../9. Improving Neural Network Performance - Part (I)/
1. Gradient Descent With Momentum - Part 1.mp4	48.0 MB
1. Gradient Descent With Momentum - Part 1.srt	12.2 KB
2. Gradient Descent With Momentum - Part 2.mp4	62.4 MB
2. Gradient Descent With Momentum - Part 2.srt	16.4 KB
3. Adagrad And RMSProb.mp4	64.1 MB
3. Adagrad And RMSProb.srt	14.8 KB
4. Adam And Learning Rate Decay.mp4	68.8 MB
4. Adam And Learning Rate Decay.srt	15.5 KB
5. The Vanishing Gradient Problem.mp4	49.1 MB
5. The Vanishing Gradient Problem.srt	8.2 KB
6. Input Centering And Normalization - Part 1.mp4	26.5 MB
6. Input Centering And Normalization - Part 1.srt	6.9 KB
7. Input Centering And Normalization - Part 2.mp4	42.3 MB
7. Input Centering And Normalization - Part 2.srt	10.4 KB
8. Weight Initialization - Part 1 - The Symmetry Problem.mp4	43.1 MB
8. Weight Initialization - Part 1 - The Symmetry Problem.srt	10.2 KB
9. Weight Initialization - Part 2.mp4	44.1 MB
9. Weight Initialization - Part 2.srt	10.2 KB
10. Changing Activation Functions - Tanh - Relu - LeakyRelu.mp4	87.5 MB
10. Changing Activation Functions - Tanh - Relu - LeakyRelu.srt	19.2 KB
/.../10. Maximum Likelihood Estimation Review/
1. Source Of Those Lectures.html	0.3 KB
2. Maximum Likelihood Estimation - Quick Overview.mp4	49.5 MB
2. Maximum Likelihood Estimation - Quick Overview.srt	13.3 KB
3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.mp4	62.9 MB
3. Maximum Likelihood Estimation Of Gaussian Distribution Parameters.srt	10.8 KB
/.../11. Improving Neural Network Performance - Part (II)/
1. The Sigmoid And Bernoulli Distribution.mp4	47.3 MB
1. The Sigmoid And Bernoulli Distribution.srt	8.1 KB
2. The Cross Entropy Cost Function - Derivation.mp4	77.0 MB
2. The Cross Entropy Cost Function - Derivation.srt	16.8 KB
3. The Cross Entropy & The Vanishing Gradient Problem.mp4	47.9 MB
3. The Cross Entropy & The Vanishing Gradient Problem.srt	10.0 KB
4. Cross Entropy In Multi-Class Problems.mp4	58.6 MB
4. Cross Entropy In Multi-Class Problems.srt	12.7 KB
5. The Softmax Activation Function.mp4	28.7 MB
5. The Softmax Activation Function.srt	5.1 KB
6. BackPropagation Derivation For The Softmax Activation Function.mp4	112.7 MB
6. BackPropagation Derivation For The Softmax Activation Function.srt	18.5 KB
7. Notes About Softmax.html	1.6 KB
/.../12. Batch Normalization !/
1. Introduction To Batch Normalization - Part 1.mp4	64.8 MB
1. Introduction To Batch Normalization - Part 1.srt	15.4 KB
2. Introduction To Batch Normalization - Part 2.mp4	38.1 MB
2. Introduction To Batch Normalization - Part 2.srt	8.2 KB
3. Forward Pass Equations For Batch Normalization.mp4	58.6 MB
3. Forward Pass Equations For Batch Normalization.srt	14.3 KB
4. Batch Normalization Inference.mp4	60.4 MB
4. Batch Normalization Inference.srt	10.3 KB
5. Derivation Of Back Propagation Through Batch Normalization - Part (I).mp4	81.2 MB
5. Derivation Of Back Propagation Through Batch Normalization - Part (I).srt	15.5 KB
6. Derivation Of Back Propagation Though Batch Normalization - Part 2.mp4	115.8 MB
6. Derivation Of Back Propagation Though Batch Normalization - Part 2.srt	18.0 KB
/.../13. Get My Other Courses !/
1. Get My Other Courses !.html	1.9 KB
Total files 165