DesireCourse Net Udemy Machine Learning with Javascript | D8B7432BC22C8DF8FCDB7B77B42EE51238A2BEF0

DesireCourse Net Udemy Machine Learning with Javascript

Name	[DesireCourse.Net] Udemy - Machine Learning with Javascript	DOWNLOAD Copy Link
Total Size	10.8 GB
Total Files	555
Hash	D8B7432BC22C8DF8FCDB7B77B42EE51238A2BEF0

/01 What is Machine Learning/
001 Getting Started - How to Get Help.en.srt	1.8 KB
001 Getting Started - How to Get Help.id.srt	1.9 KB
001 Getting Started - How to Get Help.mp4	8.8 MB
002 Solving Machine Learning Problems.en.srt	9.5 KB
002 Solving Machine Learning Problems.id.srt	10.0 KB
002 Solving Machine Learning Problems.mp4	65.8 MB
003 A Complete Walkthrough.en.srt	15.5 KB
003 A Complete Walkthrough.id.srt	16.2 KB
003 A Complete Walkthrough.mp4	114.4 MB
004 App Setup.en.srt	3.5 KB
004 App Setup.id.srt	3.7 KB
004 App Setup.mp4	20.2 MB
005 Problem Outline.en.srt	5.0 KB
005 Problem Outline.id.srt	5.2 KB
005 Problem Outline.mp4	32.7 MB
006 Identifying Relevant Data.en.srt	6.8 KB
006 Identifying Relevant Data.id.srt	7.0 KB
006 Identifying Relevant Data.mp4	35.6 MB
007 Dataset Structures.en.srt	9.4 KB
007 Dataset Structures.id.srt	9.7 KB
007 Dataset Structures.mp4	50.6 MB
008 Recording Observation Data.en.srt	6.2 KB
008 Recording Observation Data.id.srt	6.4 KB
008 Recording Observation Data.mp4	34.3 MB
009 What Type of Problem.en.srt	7.8 KB
009 What Type of Problem.id.srt	8.0 KB
009 What Type of Problem.mp4	49.3 MB
/02 Algorithm Overview/
010 How K-Nearest Neighbor Works.en.srt	13.3 KB
010 How K-Nearest Neighbor Works.id.srt	13.7 KB
010 How K-Nearest Neighbor Works.mp4	97.9 MB
011 Lodash Review.en.srt	15.6 KB
011 Lodash Review.id.srt	16.8 KB
011 Lodash Review.mp4	68.1 MB
012 Implementing KNN.en.srt	10.8 KB
012 Implementing KNN.id.srt	11.5 KB
012 Implementing KNN.mp4	62.2 MB
013 Finishing KNN Implementation.en.srt	9.0 KB
013 Finishing KNN Implementation.id.srt	9.6 KB
013 Finishing KNN Implementation.mp4	52.7 MB
014 Testing the Algorithm.en.srt	7.3 KB
014 Testing the Algorithm.id.srt	7.6 KB
014 Testing the Algorithm.mp4	47.1 MB
015 Interpreting Bad Results.en.srt	6.6 KB
015 Interpreting Bad Results.id.srt	6.8 KB
015 Interpreting Bad Results.mp4	42.7 MB
016 Test and Training Data.en.srt	6.2 KB
016 Test and Training Data.id.srt	6.6 KB
016 Test and Training Data.mp4	47.4 MB
017 Randomizing Test Data.en.srt	5.8 KB
017 Randomizing Test Data.id.srt	6.1 KB
017 Randomizing Test Data.mp4	37.7 MB
018 Generalizing KNN.en.srt	5.8 KB
018 Generalizing KNN.id.srt	6.1 KB
018 Generalizing KNN.mp4	40.9 MB
019 Gauging Accuracy.en.srt	8.2 KB
019 Gauging Accuracy.id.srt	8.7 KB
019 Gauging Accuracy.mp4	56.6 MB
020 Printing a Report.en.srt	5.1 KB
020 Printing a Report.id.srt	5.5 KB
020 Printing a Report.mp4	34.9 MB
021 Refactoring Accuracy Reporting.en.srt	7.8 KB
021 Refactoring Accuracy Reporting.id.srt	8.3 KB
021 Refactoring Accuracy Reporting.mp4	54.8 MB
022 Investigating Optimal K Values.en.srt	18.5 KB
022 Investigating Optimal K Values.id.srt	19.5 KB
022 Investigating Optimal K Values.mp4	135.4 MB
023 Updating KNN for Multiple Features.en.srt	10.5 KB
023 Updating KNN for Multiple Features.id.srt	10.8 KB
023 Updating KNN for Multiple Features.mp4	74.0 MB
024 Multi-Dimensional KNN.en.srt	6.5 KB
024 Multi-Dimensional KNN.id.srt	6.6 KB
024 Multi-Dimensional KNN.mp4	46.4 MB
025 N-Dimension Distance.en.srt	15.6 KB
025 N-Dimension Distance.id.srt	16.4 KB
025 N-Dimension Distance.mp4	82.7 MB
026 Arbitrary Feature Spaces.en.srt	13.7 KB
026 Arbitrary Feature Spaces.id.srt	14.2 KB
026 Arbitrary Feature Spaces.mp4	74.7 MB
027 Magnitude Offsets in Features.en.srt	8.9 KB
027 Magnitude Offsets in Features.id.srt	9.2 KB
027 Magnitude Offsets in Features.mp4	67.2 MB
028 Feature Normalization.en.srt	11.9 KB
028 Feature Normalization.id.srt	12.5 KB
028 Feature Normalization.mp4	76.4 MB
029 Normalization with MinMax.en.srt	10.6 KB
029 Normalization with MinMax.id.srt	11.2 KB
029 Normalization with MinMax.mp4	70.3 MB
030 Applying Normalization.en.srt	7.1 KB
030 Applying Normalization.id.srt	7.5 KB
030 Applying Normalization.mp4	47.6 MB
031 Feature Selection with KNN.en.srt	13.0 KB
031 Feature Selection with KNN.id.srt	14.0 KB
031 Feature Selection with KNN.mp4	84.3 MB
032 Objective Feature Picking.en.srt	9.6 KB
032 Objective Feature Picking.id.srt	10.2 KB
032 Objective Feature Picking.mp4	69.2 MB
033 Evaluating Different Feature Values.en.srt	4.3 KB
033 Evaluating Different Feature Values.id.srt	4.4 KB
033 Evaluating Different Feature Values.mp4	29.3 MB
/03 Onwards to Tensorflow JS/
034 Lets Get Our Bearings.en.srt	12.6 KB
034 Lets Get Our Bearings.id.srt	13.1 KB
034 Lets Get Our Bearings.mp4	80.3 MB
035 A Plan to Move Forward.en.srt	7.9 KB
035 A Plan to Move Forward.id.srt	8.4 KB
035 A Plan to Move Forward.mp4	51.0 MB
036 Tensor Shape and Dimension.en.srt	19.5 KB
036 Tensor Shape and Dimension.id.srt	20.1 KB
036 Tensor Shape and Dimension.mp4	119.8 MB
037 Elementwise Operations.en.srt	12.2 KB
037 Elementwise Operations.id.srt	13.1 KB
037 Elementwise Operations.mp4	61.2 MB
038 Broadcasting Operations.en.srt	11.0 KB
038 Broadcasting Operations.id.srt	11.3 KB
038 Broadcasting Operations.mp4	65.1 MB
039 Logging Tensor Data.en.srt	6.4 KB
039 Logging Tensor Data.id.srt	6.8 KB
039 Logging Tensor Data.mp4	27.3 MB
040 Tensor Accessors.en.srt	8.8 KB
040 Tensor Accessors.id.srt	9.2 KB
040 Tensor Accessors.mp4	31.9 MB
041 Creating Slices of Data.en.srt	11.9 KB
041 Creating Slices of Data.id.srt	12.1 KB
041 Creating Slices of Data.mp4	61.8 MB
042 Tensor Concatenation.en.srt	8.7 KB
042 Tensor Concatenation.id.srt	9.0 KB
042 Tensor Concatenation.mp4	46.3 MB
043 Summing Values Along an Axis.en.srt	8.5 KB
043 Summing Values Along an Axis.id.srt	8.9 KB
043 Summing Values Along an Axis.mp4	43.4 MB
044 Massaging Dimensions with ExpandDims.en.srt	12.6 KB
044 Massaging Dimensions with ExpandDims.id.srt	13.2 KB
044 Massaging Dimensions with ExpandDims.mp4	59.8 MB
/04 Applications of Tensorflow/
045 KNN with Regression.en.srt	8.2 KB
045 KNN with Regression.id.srt	8.4 KB
045 KNN with Regression.mp4	57.6 MB
046 A Change in Data Structure.en.srt	6.7 KB
046 A Change in Data Structure.id.srt	6.9 KB
046 A Change in Data Structure.mp4	43.4 MB
047 KNN with Tensorflow.en.srt	15.3 KB
047 KNN with Tensorflow.id.srt	16.0 KB
047 KNN with Tensorflow.mp4	82.5 MB
048 Maintaining Order Relationships.en.srt	10.9 KB
048 Maintaining Order Relationships.id.srt	11.4 KB
048 Maintaining Order Relationships.mp4	60.6 MB
049 Sorting Tensors.en.srt	12.4 KB
049 Sorting Tensors.id.srt	13.2 KB
049 Sorting Tensors.mp4	65.9 MB
050 Averaging Top Values.en.srt	12.1 KB
050 Averaging Top Values.id.srt	12.8 KB
050 Averaging Top Values.mp4	61.0 MB
051 Moving to the Editor.en.srt	5.4 KB
051 Moving to the Editor.id.srt	5.5 KB
051 Moving to the Editor.mp4	36.0 MB
052 Loading CSV Data.en.srt	15.4 KB
052 Loading CSV Data.id.srt	16.1 KB
052 Loading CSV Data.mp4	93.7 MB
053 Running an Analysis.en.srt	9.6 KB
053 Running an Analysis.id.srt	9.9 KB
053 Running an Analysis.mp4	55.0 MB
054 Reporting Error Percentages.en.srt	9.5 KB
054 Reporting Error Percentages.id.srt	10.2 KB
054 Reporting Error Percentages.mp4	67.6 MB
055 Normalization or Standardization.en.srt	12.0 KB
055 Normalization or Standardization.id.srt	12.3 KB
055 Normalization or Standardization.mp4	97.5 MB
056 Numerical Standardization with Tensorflow.en.srt	12.1 KB
056 Numerical Standardization with Tensorflow.id.srt	12.5 KB
056 Numerical Standardization with Tensorflow.mp4	55.6 MB
057 Applying Standardization.en.srt	6.3 KB
057 Applying Standardization.id.srt	6.5 KB
057 Applying Standardization.mp4	43.5 MB
058 Debugging Calculations.en.srt	13.3 KB
058 Debugging Calculations.id.srt	13.9 KB
058 Debugging Calculations.mp4	90.9 MB
059 What Now.en.srt	6.5 KB
059 What Now.id.srt	7.0 KB
059 What Now.mp4	44.4 MB
/05 Getting Started with Gradient Descent/
060 Linear Regression.en.srt	4.6 KB
060 Linear Regression.id.srt	4.9 KB
060 Linear Regression.mp4	26.6 MB
061 Why Linear Regression.en.srt	7.8 KB
061 Why Linear Regression.id.srt	8.2 KB
061 Why Linear Regression.mp4	52.8 MB
062 Understanding Gradient Descent.en.srt	19.9 KB
062 Understanding Gradient Descent.id.srt	21.0 KB
062 Understanding Gradient Descent.mp4	132.9 MB
063 Guessing Coefficients with MSE.en.srt	15.8 KB
063 Guessing Coefficients with MSE.id.srt	16.8 KB
063 Guessing Coefficients with MSE.mp4	98.0 MB
064 Observations Around MSE.en.srt	9.5 KB
064 Observations Around MSE.id.srt	9.9 KB
064 Observations Around MSE.mp4	58.8 MB
065 Derivatives.en.srt	11.2 KB
065 Derivatives.id.srt	11.6 KB
065 Derivatives.mp4	81.7 MB
066 Gradient Descent in Action.en.srt	18.9 KB
066 Gradient Descent in Action.id.srt	19.9 KB
066 Gradient Descent in Action.mp4	121.0 MB
067 Quick Breather and Review.en.srt	9.4 KB
067 Quick Breather and Review.id.srt	10.1 KB
067 Quick Breather and Review.mp4	69.0 MB
068 Why a Learning Rate.en.srt	26.6 KB
068 Why a Learning Rate.id.srt	28.9 KB
068 Why a Learning Rate.mp4	196.4 MB
069 Answering Common Questions.en.srt	6.1 KB
069 Answering Common Questions.id.srt	6.5 KB
069 Answering Common Questions.mp4	42.9 MB
070 Gradient Descent with Multiple Terms.en.srt	7.6 KB
070 Gradient Descent with Multiple Terms.id.srt	8.1 KB
070 Gradient Descent with Multiple Terms.mp4	46.3 MB
071 Multiple Terms in Action.en.srt	16.9 KB
071 Multiple Terms in Action.id.srt	17.9 KB
071 Multiple Terms in Action.mp4	129.1 MB
/06 Gradient Descent with Tensorflow/
072 Project Overview.en.srt	9.7 KB
072 Project Overview.id.srt	9.9 KB
072 Project Overview.mp4	59.8 MB
073 Data Loading.en.srt	8.0 KB
073 Data Loading.id.srt	8.4 KB
073 Data Loading.mp4	45.6 MB
074 Default Algorithm Options.en.srt	13.0 KB
074 Default Algorithm Options.id.srt	13.3 KB
074 Default Algorithm Options.mp4	65.7 MB
075 Formulating the Training Loop.en.srt	5.2 KB
075 Formulating the Training Loop.id.srt	5.4 KB
075 Formulating the Training Loop.mp4	29.0 MB
076 Initial Gradient Descent Implementation.en.srt	14.6 KB
076 Initial Gradient Descent Implementation.id.srt	15.2 KB
076 Initial Gradient Descent Implementation.mp4	92.2 MB
077 Calculating MSE Slopes.en.srt	9.9 KB
077 Calculating MSE Slopes.id.srt	10.4 KB
077 Calculating MSE Slopes.mp4	70.4 MB
078 Updating Coefficients.en.srt	5.1 KB
078 Updating Coefficients.id.srt	5.4 KB
078 Updating Coefficients.mp4	35.5 MB
079 Interpreting Results.en.srt	15.8 KB
079 Interpreting Results.id.srt	16.9 KB
079 Interpreting Results.mp4	106.7 MB
080 Matrix Multiplication.en.srt	11.6 KB
080 Matrix Multiplication.id.srt	12.1 KB
080 Matrix Multiplication.mp4	70.7 MB
081 More on Matrix Multiplication.en.srt	9.7 KB
081 More on Matrix Multiplication.id.srt	10.1 KB
081 More on Matrix Multiplication.mp4	66.3 MB
082 Matrix Form of Slope Equations.en.srt	9.8 KB
082 Matrix Form of Slope Equations.id.srt	10.4 KB
082 Matrix Form of Slope Equations.mp4	62.5 MB
083 Simplification with Matrix Multiplication.en.srt	14.8 KB
083 Simplification with Matrix Multiplication.id.srt	15.6 KB
083 Simplification with Matrix Multiplication.mp4	95.2 MB
084 How it All Works Together.en.srt	21.4 KB
084 How it All Works Together.id.srt	22.2 KB
084 How it All Works Together.mp4	150.8 MB
/07 Increasing Performance with Vectorized Solutions/
085 Refactoring the Linear Regression Class.en.srt	11.9 KB
085 Refactoring the Linear Regression Class.id.srt	12.6 KB
085 Refactoring the Linear Regression Class.mp4	76.2 MB
086 Refactoring to One Equation.en.srt	14.2 KB
086 Refactoring to One Equation.id.srt	15.1 KB
086 Refactoring to One Equation.mp4	88.9 MB
087 A Few More Changes.en.srt	10.3 KB
087 A Few More Changes.id.srt	11.0 KB
087 A Few More Changes.mp4	69.4 MB
088 Same Results Or Not.en.srt	5.6 KB
088 Same Results Or Not.id.srt	6.0 KB
088 Same Results Or Not.mp4	35.5 MB
089 Calculating Model Accuracy.en.srt	13.6 KB
089 Calculating Model Accuracy.id.srt	14.1 KB
089 Calculating Model Accuracy.mp4	84.3 MB
090 Implementing Coefficient of Determination.en.srt	12.0 KB
090 Implementing Coefficient of Determination.id.srt	12.5 KB
090 Implementing Coefficient of Determination.mp4	79.5 MB
091 Dealing with Bad Accuracy.en.srt	12.2 KB
091 Dealing with Bad Accuracy.id.srt	12.7 KB
091 Dealing with Bad Accuracy.mp4	74.9 MB
092 Reminder on Standardization.en.srt	7.1 KB
092 Reminder on Standardization.id.srt	7.5 KB
092 Reminder on Standardization.mp4	46.6 MB
093 Data Processing in a Helper Method.en.srt	5.7 KB
093 Data Processing in a Helper Method.id.srt	5.8 KB
093 Data Processing in a Helper Method.mp4	39.0 MB
094 Reapplying Standardization.en.srt	8.7 KB
094 Reapplying Standardization.id.srt	9.3 KB
094 Reapplying Standardization.mp4	60.8 MB
095 Fixing Standardization Issues.en.srt	9.2 KB
095 Fixing Standardization Issues.id.srt	9.6 KB
095 Fixing Standardization Issues.mp4	50.2 MB
096 Massaging Learning Rates.en.srt	4.8 KB
096 Massaging Learning Rates.id.srt	5.2 KB
096 Massaging Learning Rates.mp4	38.2 MB
097 Moving Towards Multivariate Regression.en.srt	18.6 KB
097 Moving Towards Multivariate Regression.id.srt	19.6 KB
097 Moving Towards Multivariate Regression.mp4	127.3 MB
098 Refactoring for Multivariate Analysis.en.srt	12.2 KB
098 Refactoring for Multivariate Analysis.id.srt	12.8 KB
098 Refactoring for Multivariate Analysis.mp4	86.4 MB
099 Learning Rate Optimization.en.srt	12.8 KB
099 Learning Rate Optimization.id.srt	13.7 KB
099 Learning Rate Optimization.mp4	80.4 MB
100 Recording MSE History.en.srt	8.3 KB
100 Recording MSE History.id.srt	8.8 KB
100 Recording MSE History.mp4	54.5 MB
101 Updating Learning Rate.en.srt	10.3 KB
101 Updating Learning Rate.id.srt	11.0 KB
101 Updating Learning Rate.mp4	65.2 MB
/08 Plotting Data with Javascript/
102 Observing Changing Learning Rate and MSE.en.srt	7.0 KB
102 Observing Changing Learning Rate and MSE.id.srt	7.4 KB
102 Observing Changing Learning Rate and MSE.mp4	48.1 MB
103 Plotting MSE Values.en.srt	8.4 KB
103 Plotting MSE Values.id.srt	9.0 KB
103 Plotting MSE Values.mp4	64.4 MB
104 Plotting MSE History against B Values.en.srt	7.2 KB
104 Plotting MSE History against B Values.id.srt	7.5 KB
104 Plotting MSE History against B Values.mp4	50.1 MB
/09 Gradient Descent Alterations/
105 Batch and Stochastic Gradient Descent.en.srt	11.7 KB
105 Batch and Stochastic Gradient Descent.id.srt	12.3 KB
105 Batch and Stochastic Gradient Descent.mp4	81.0 MB
106 Refactoring Towards Batch Gradient Descent.en.srt	8.2 KB
106 Refactoring Towards Batch Gradient Descent.id.srt	8.5 KB
106 Refactoring Towards Batch Gradient Descent.mp4	57.8 MB
107 Determining Batch Size and Quantity.en.srt	9.0 KB
107 Determining Batch Size and Quantity.id.srt	9.4 KB
107 Determining Batch Size and Quantity.mp4	69.3 MB
108 Iterating Over Batches.en.srt	12.4 KB
108 Iterating Over Batches.id.srt	12.9 KB
108 Iterating Over Batches.mp4	70.7 MB
109 Evaluating Batch Gradient Descent Results.en.srt	9.3 KB
109 Evaluating Batch Gradient Descent Results.id.srt	10.0 KB
109 Evaluating Batch Gradient Descent Results.mp4	69.5 MB
110 Making Predictions with the Model.en.srt	12.2 KB
110 Making Predictions with the Model.id.srt	12.7 KB
110 Making Predictions with the Model.mp4	83.3 MB
/10 Natural Binary Classification/
111 Introducing Logistic Regression.en.srt	4.0 KB
111 Introducing Logistic Regression.id.srt	4.1 KB
111 Introducing Logistic Regression.mp4	24.6 MB
112 Logistic Regression in Action.en.srt	11.1 KB
112 Logistic Regression in Action.id.srt	11.4 KB
112 Logistic Regression in Action.mp4	64.0 MB
113 Bad Equation Fits.en.srt	8.8 KB
113 Bad Equation Fits.id.srt	9.4 KB
113 Bad Equation Fits.mp4	58.1 MB
114 The Sigmoid Equation.en.srt	7.4 KB
114 The Sigmoid Equation.id.srt	7.9 KB
114 The Sigmoid Equation.mp4	47.7 MB
115 Decision Boundaries.en.srt	12.2 KB
115 Decision Boundaries.id.srt	12.8 KB
115 Decision Boundaries.mp4	83.0 MB
116 Changes for Logistic Regression.en.srt	2.0 KB
116 Changes for Logistic Regression.id.srt	2.1 KB
116 Changes for Logistic Regression.mp4	13.1 MB
117 Project Setup for Logistic Regression.en.srt	9.5 KB
117 Project Setup for Logistic Regression.id.srt	9.8 KB
117 Project Setup for Logistic Regression.mp4	62.3 MB
118 Project Download.html	1.1 KB
118 regressions.zip	35.1 KB
119 Importing Vehicle Data.en.srt	6.8 KB
119 Importing Vehicle Data.id.srt	7.0 KB
119 Importing Vehicle Data.mp4	40.8 MB
120 Encoding Label Values.en.srt	7.0 KB
120 Encoding Label Values.id.srt	7.3 KB
120 Encoding Label Values.mp4	50.9 MB
121 Updating Linear Regression for Logistic Regression.en.srt	11.4 KB
121 Updating Linear Regression for Logistic Regression.id.srt	12.1 KB
121 Updating Linear Regression for Logistic Regression.mp4	73.7 MB
122 The Sigmoid Equation with Logistic Regression.en.srt	6.9 KB
122 The Sigmoid Equation with Logistic Regression.id.srt	7.3 KB
122 The Sigmoid Equation with Logistic Regression.mp4	34.4 MB
123 A Touch More Refactoring.en.srt	12.1 KB
123 A Touch More Refactoring.id.srt	12.8 KB
123 A Touch More Refactoring.mp4	91.7 MB
124 Gauging Classification Accuracy.en.srt	5.6 KB
124 Gauging Classification Accuracy.id.srt	5.7 KB
124 Gauging Classification Accuracy.mp4	38.5 MB
125 Implementing a Test Function.en.srt	8.8 KB
125 Implementing a Test Function.id.srt	9.2 KB
125 Implementing a Test Function.mp4	57.4 MB
126 Variable Decision Boundaries.en.srt	11.7 KB
126 Variable Decision Boundaries.id.srt	12.4 KB
126 Variable Decision Boundaries.mp4	71.6 MB
127 Mean Squared Error vs Cross Entropy.en.srt	9.1 KB
127 Mean Squared Error vs Cross Entropy.id.srt	9.5 KB
127 Mean Squared Error vs Cross Entropy.mp4	63.1 MB
128 Refactoring with Cross Entropy.en.srt	8.4 KB
128 Refactoring with Cross Entropy.id.srt	8.7 KB
128 Refactoring with Cross Entropy.mp4	51.8 MB
129 Finishing the Cost Refactor.en.srt	7.0 KB
129 Finishing the Cost Refactor.id.srt	7.4 KB
129 Finishing the Cost Refactor.mp4	51.5 MB
130 Plotting Changing Cost History.en.srt	5.8 KB
130 Plotting Changing Cost History.id.srt	6.2 KB
130 Plotting Changing Cost History.mp4	45.0 MB
/11 Multi-Value Classification/
131 Multinominal Logistic Regression.en.srt	3.7 KB
131 Multinominal Logistic Regression.id.srt	3.9 KB
131 Multinominal Logistic Regression.mp4	26.2 MB
132 A Smart Refactor to Multinominal Analysis.en.srt	8.4 KB
132 A Smart Refactor to Multinominal Analysis.id.srt	9.0 KB
132 A Smart Refactor to Multinominal Analysis.mp4	52.4 MB
133 A Smarter Refactor.en.srt	6.1 KB
133 A Smarter Refactor.id.srt	6.3 KB
133 A Smarter Refactor.mp4	40.2 MB
134 A Single Instance Approach.en.srt	15.7 KB
134 A Single Instance Approach.id.srt	16.1 KB
134 A Single Instance Approach.mp4	108.6 MB
135 Refactoring to Multi-Column Weights.en.srt	7.8 KB
135 Refactoring to Multi-Column Weights.id.srt	8.1 KB
135 Refactoring to Multi-Column Weights.mp4	50.8 MB
136 A Problem to Test Multinominal Classification.en.srt	7.3 KB
136 A Problem to Test Multinominal Classification.id.srt	7.7 KB
136 A Problem to Test Multinominal Classification.mp4	50.8 MB
137 Classifying Continuous Values.en.srt	7.2 KB
137 Classifying Continuous Values.id.srt	7.6 KB
137 Classifying Continuous Values.mp4	46.7 MB
138 Training a Multinominal Model.en.srt	10.1 KB
138 Training a Multinominal Model.id.srt	10.5 KB
138 Training a Multinominal Model.mp4	69.3 MB
139 Marginal vs Conditional Probability.en.srt	16.4 KB
139 Marginal vs Conditional Probability.id.srt	17.3 KB
139 Marginal vs Conditional Probability.mp4	99.8 MB
140 Sigmoid vs Softmax.en.srt	10.1 KB
140 Sigmoid vs Softmax.id.srt	10.5 KB
140 Sigmoid vs Softmax.mp4	65.8 MB
141 Refactoring Sigmoid to Softmax.en.srt	7.7 KB
141 Refactoring Sigmoid to Softmax.id.srt	8.1 KB
141 Refactoring Sigmoid to Softmax.mp4	51.2 MB
142 Implementing Accuracy Gauges.en.srt	4.4 KB
142 Implementing Accuracy Gauges.id.srt	4.4 KB
142 Implementing Accuracy Gauges.mp4	30.1 MB
143 Calculating Accuracy.en.srt	5.2 KB
143 Calculating Accuracy.id.srt	5.5 KB
143 Calculating Accuracy.mp4	32.8 MB
/12 Image Recognition In Action/
144 Handwriting Recognition.en.srt	3.7 KB
144 Handwriting Recognition.id.srt	3.8 KB
144 Handwriting Recognition.mp4	25.9 MB
145 Greyscale Values.en.srt	8.1 KB
145 Greyscale Values.id.srt	8.5 KB
145 Greyscale Values.mp4	58.0 MB
146 Many Features.en.srt	5.5 KB
146 Many Features.id.srt	5.6 KB
146 Many Features.mp4	46.9 MB
147 Flattening Image Data.en.srt	9.0 KB
147 Flattening Image Data.id.srt	9.5 KB
147 Flattening Image Data.mp4	60.6 MB
148 Encoding Label Values.en.srt	8.7 KB
148 Encoding Label Values.id.srt	9.2 KB
148 Encoding Label Values.mp4	65.0 MB
149 Implementing an Accuracy Gauge.en.srt	11.7 KB
149 Implementing an Accuracy Gauge.id.srt	12.4 KB
149 Implementing an Accuracy Gauge.mp4	83.8 MB
150 Unchanging Accuracy.en.srt	3.3 KB
150 Unchanging Accuracy.id.srt	3.5 KB
150 Unchanging Accuracy.mp4	21.3 MB
151 Debugging the Calculation Process.en.srt	13.3 KB
151 Debugging the Calculation Process.id.srt	13.7 KB
151 Debugging the Calculation Process.mp4	93.4 MB
152 Dealing with Zero Variances.en.srt	10.2 KB
152 Dealing with Zero Variances.id.srt	10.8 KB
152 Dealing with Zero Variances.mp4	50.2 MB
153 Backfilling Variance.en.srt	4.2 KB
153 Backfilling Variance.id.srt	4.4 KB
153 Backfilling Variance.mp4	27.0 MB
/13 Performance Optimization/
154 Handing Large Datasets.en.srt	7.2 KB
154 Handing Large Datasets.id.srt	7.8 KB
154 Handing Large Datasets.mp4	46.6 MB
155 Minimizing Memory Usage.en.srt	7.7 KB
155 Minimizing Memory Usage.id.srt	8.0 KB
155 Minimizing Memory Usage.mp4	40.0 MB
156 Creating Memory Snapshots.en.srt	8.4 KB
156 Creating Memory Snapshots.id.srt	8.8 KB
156 Creating Memory Snapshots.mp4	51.4 MB
157 The Javascript Garbage Collector.en.srt	10.4 KB
157 The Javascript Garbage Collector.id.srt	10.9 KB
157 The Javascript Garbage Collector.mp4	58.5 MB
158 Shallow vs Retained Memory Usage.en.srt	9.3 KB
158 Shallow vs Retained Memory Usage.id.srt	9.8 KB
158 Shallow vs Retained Memory Usage.mp4	59.7 MB
159 Measuring Memory Usage.en.srt	14.2 KB
159 Measuring Memory Usage.id.srt	15.0 KB
159 Measuring Memory Usage.mp4	101.3 MB
160 Releasing References.en.srt	5.1 KB
160 Releasing References.id.srt	5.3 KB
160 Releasing References.mp4	37.7 MB
161 Measuring Footprint Reduction.en.srt	6.4 KB
161 Measuring Footprint Reduction.id.srt	6.8 KB
161 Measuring Footprint Reduction.mp4	45.4 MB
162 Optimization Tensorflow Memory Usage.en.srt	2.7 KB
162 Optimization Tensorflow Memory Usage.id.srt	3.0 KB
162 Optimization Tensorflow Memory Usage.mp4	19.4 MB
163 Tensorflows Eager Memory Usage.en.srt	7.1 KB
163 Tensorflows Eager Memory Usage.id.srt	7.5 KB
163 Tensorflows Eager Memory Usage.mp4	49.1 MB
164 Cleaning up Tensors with Tidy.en.srt	4.5 KB
164 Cleaning up Tensors with Tidy.id.srt	4.7 KB
164 Cleaning up Tensors with Tidy.mp4	25.4 MB
165 Implementing TF Tidy.en.srt	5.5 KB
165 Implementing TF Tidy.id.srt	5.7 KB
165 Implementing TF Tidy.mp4	39.4 MB
166 Tidying the Training Loop.en.srt	6.4 KB
166 Tidying the Training Loop.id.srt	6.6 KB
166 Tidying the Training Loop.mp4	48.2 MB
167 Measuring Reduced Memory Usage.en.srt	2.5 KB
167 Measuring Reduced Memory Usage.id.srt	2.6 KB
167 Measuring Reduced Memory Usage.mp4	19.0 MB
168 One More Optimization.en.srt	3.8 KB
168 One More Optimization.id.srt	4.0 KB
168 One More Optimization.mp4	28.8 MB
169 Final Memory Report.en.srt	4.6 KB
169 Final Memory Report.id.srt	4.9 KB
169 Final Memory Report.mp4	38.0 MB
170 Plotting Cost History.en.srt	6.8 KB
170 Plotting Cost History.id.srt	7.1 KB
170 Plotting Cost History.mp4	49.9 MB
171 NaN in Cost History.en.srt	7.1 KB
171 NaN in Cost History.id.srt	7.5 KB
171 NaN in Cost History.mp4	48.6 MB
172 Fixing Cost History.en.srt	7.3 KB
172 Fixing Cost History.id.srt	7.8 KB
172 Fixing Cost History.mp4	49.0 MB
173 Massaging Learning Parameters.en.srt	2.8 KB
173 Massaging Learning Parameters.id.srt	3.1 KB
173 Massaging Learning Parameters.mp4	23.6 MB
174 Improving Model Accuracy.en.srt	6.9 KB
174 Improving Model Accuracy.id.srt	7.4 KB
174 Improving Model Accuracy.mp4	57.7 MB
/14 Appendix Custom CSV Loader/
175 Loading CSV Files.en.srt	3.5 KB
175 Loading CSV Files.id.srt	3.6 KB
175 Loading CSV Files.mp4	16.6 MB
176 A Test Dataset.en.srt	3.0 KB
176 A Test Dataset.id.srt	3.0 KB
176 A Test Dataset.mp4	10.0 MB
177 Reading Files from Disk.en.srt	4.5 KB
177 Reading Files from Disk.id.srt	4.6 KB
177 Reading Files from Disk.mp4	19.5 MB
178 Splitting into Columns.en.srt	4.4 KB
178 Splitting into Columns.id.srt	4.5 KB
178 Splitting into Columns.mp4	21.3 MB
179 Dropping Trailing Columns.en.srt	4.0 KB
179 Dropping Trailing Columns.id.srt	4.2 KB
179 Dropping Trailing Columns.mp4	19.3 MB
180 Parsing Number Values.en.srt	5.6 KB
180 Parsing Number Values.id.srt	5.8 KB
180 Parsing Number Values.mp4	32.9 MB
181 Custom Value Parsing.en.srt	6.7 KB
181 Custom Value Parsing.id.srt	7.0 KB
181 Custom Value Parsing.mp4	38.5 MB
182 Extracting Data Columns.en.srt	7.9 KB
182 Extracting Data Columns.id.srt	8.3 KB
182 Extracting Data Columns.mp4	60.0 MB
183 Shuffling Data via Seed Phrase.en.srt	8.7 KB
183 Shuffling Data via Seed Phrase.id.srt	9.2 KB
183 Shuffling Data via Seed Phrase.mp4	54.7 MB
184 Splitting Test and Training.en.srt	12.3 KB
184 Splitting Test and Training.id.srt	13.0 KB
184 Splitting Test and Training.mp4	79.3 MB
/15 Extras/
185 Bonus.html	3.7 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
[FreeCourseWorld.Com].url	0.1 KB
Total files 555