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[FreeTutorials.Eu] Udemy - machine-learning-with-javascript
magnet:?xt=urn:btih:d405dd907319ecefcabc95e47abc2a8238ef6766&dn=[FreeTutorials.Eu] Udemy - machine-learning-with-javascript
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d405dd907319ecefcabc95e47abc2a8238ef6766
infohash:
183
文件数量
10.1 GB
文件大小
2018-12-24 20:19
创建日期
2024-10-6 09:29
最后访问
相关分词
FreeTutorials
Eu
Udemy
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machine-learning-with-javascript
01 What is Machine Learning/001 Getting Started - How to Get Help.mp4 8.35 MB
01 What is Machine Learning/002 Solving Machine Learning Problems.mp4 62.77 MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 109.13 MB
01 What is Machine Learning/004 App Setup.mp4 19.27 MB
01 What is Machine Learning/005 Problem Outline.mp4 31.21 MB
01 What is Machine Learning/006 Identifying Relevant Data.mp4 33.91 MB
01 What is Machine Learning/007 Dataset Structures.mp4 48.24 MB
01 What is Machine Learning/008 Recording Observation Data.mp4 32.74 MB
01 What is Machine Learning/009 What Type of Problem.mp4 47.03 MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4 93.32 MB
02 Algorithm Overview/011 Lodash Review.mp4 64.93 MB
02 Algorithm Overview/012 Implementing KNN.mp4 59.34 MB
02 Algorithm Overview/013 Finishing KNN Implementation.mp4 50.28 MB
02 Algorithm Overview/014 Testing the Algorithm.mp4 44.96 MB
02 Algorithm Overview/015 Interpreting Bad Results.mp4 40.75 MB
02 Algorithm Overview/016 Test and Training Data.mp4 45.2 MB
02 Algorithm Overview/017 Randomizing Test Data.mp4 36 MB
02 Algorithm Overview/018 Generalizing KNN.mp4 38.99 MB
02 Algorithm Overview/019 Gauging Accuracy.mp4 54.01 MB
02 Algorithm Overview/020 Printing a Report.mp4 33.29 MB
02 Algorithm Overview/021 Refactoring Accuracy Reporting.mp4 52.3 MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4 129.13 MB
02 Algorithm Overview/023 Updating KNN for Multiple Features.mp4 70.61 MB
02 Algorithm Overview/024 Multi-Dimensional KNN.mp4 44.2 MB
02 Algorithm Overview/025 N-Dimension Distance.mp4 78.87 MB
02 Algorithm Overview/026 Arbitrary Feature Spaces.mp4 71.25 MB
02 Algorithm Overview/027 Magnitude Offsets in Features.mp4 64.06 MB
02 Algorithm Overview/028 Feature Normalization.mp4 72.91 MB
02 Algorithm Overview/029 Normalization with MinMax.mp4 67.04 MB
02 Algorithm Overview/030 Applying Normalization.mp4 45.35 MB
02 Algorithm Overview/031 Feature Selection with KNN.mp4 80.36 MB
02 Algorithm Overview/032 Objective Feature Picking.mp4 65.97 MB
02 Algorithm Overview/033 Evaluating Different Feature Values.mp4 27.97 MB
03 Onwards to Tensorflow JS/034 Lets Get Our Bearings.mp4 76.61 MB
03 Onwards to Tensorflow JS/035 A Plan to Move Forward.mp4 48.65 MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4 114.28 MB
03 Onwards to Tensorflow JS/037 Elementwise Operations.mp4 58.36 MB
03 Onwards to Tensorflow JS/038 Broadcasting Operations.mp4 62.05 MB
03 Onwards to Tensorflow JS/039 Logging Tensor Data.mp4 26 MB
03 Onwards to Tensorflow JS/040 Tensor Accessors.mp4 30.46 MB
03 Onwards to Tensorflow JS/041 Creating Slices of Data.mp4 58.91 MB
03 Onwards to Tensorflow JS/042 Tensor Concatenation.mp4 44.13 MB
03 Onwards to Tensorflow JS/043 Summing Values Along an Axis.mp4 41.36 MB
03 Onwards to Tensorflow JS/044 Massaging Dimensions with ExpandDims.mp4 57.01 MB
04 Applications of Tensorflow/045 KNN with Regression.mp4 54.98 MB
04 Applications of Tensorflow/046 A Change in Data Structure.mp4 41.34 MB
04 Applications of Tensorflow/047 KNN with Tensorflow.mp4 78.71 MB
04 Applications of Tensorflow/048 Maintaining Order Relationships.mp4 57.75 MB
04 Applications of Tensorflow/049 Sorting Tensors.mp4 62.84 MB
04 Applications of Tensorflow/050 Averaging Top Values.mp4 58.13 MB
04 Applications of Tensorflow/051 Moving to the Editor.mp4 34.33 MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4 89.32 MB
04 Applications of Tensorflow/053 Running an Analysis.mp4 52.5 MB
04 Applications of Tensorflow/054 Reporting Error Percentages.mp4 64.49 MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4 92.97 MB
04 Applications of Tensorflow/056 Numerical Standardization with Tensorflow.mp4 53.05 MB
04 Applications of Tensorflow/057 Applying Standardization.mp4 41.46 MB
04 Applications of Tensorflow/058 Debugging Calculations.mp4 86.71 MB
04 Applications of Tensorflow/059 What Now.mp4 42.32 MB
05 Getting Started with Gradient Descent/060 Linear Regression.mp4 25.38 MB
05 Getting Started with Gradient Descent/061 Why Linear Regression.mp4 50.34 MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 126.76 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 93.46 MB
05 Getting Started with Gradient Descent/064 Observations Around MSE.mp4 56.11 MB
05 Getting Started with Gradient Descent/065 Derivatives.mp4 77.95 MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 115.35 MB
05 Getting Started with Gradient Descent/067 Quick Breather and Review.mp4 65.79 MB
05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4 187.28 MB
05 Getting Started with Gradient Descent/069 Answering Common Questions.mp4 40.94 MB
05 Getting Started with Gradient Descent/070 Gradient Descent with Multiple Terms.mp4 44.19 MB
05 Getting Started with Gradient Descent/071 Multiple Terms in Action.mp4 123.15 MB
06 Gradient Descent with Tensorflow/072 Project Overview.mp4 57.04 MB
06 Gradient Descent with Tensorflow/073 Data Loading.mp4 43.48 MB
06 Gradient Descent with Tensorflow/074 Default Algorithm Options.mp4 62.66 MB
06 Gradient Descent with Tensorflow/075 Formulating the Training Loop.mp4 27.67 MB
06 Gradient Descent with Tensorflow/076 Initial Gradient Descent Implementation.mp4 87.92 MB
06 Gradient Descent with Tensorflow/077 Calculating MSE Slopes.mp4 67.13 MB
06 Gradient Descent with Tensorflow/078 Updating Coefficients.mp4 33.86 MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4 101.71 MB
06 Gradient Descent with Tensorflow/080 Matrix Multiplication.mp4 67.46 MB
06 Gradient Descent with Tensorflow/081 More on Matrix Multiplication.mp4 63.24 MB
06 Gradient Descent with Tensorflow/082 Matrix Form of Slope Equations.mp4 59.6 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 90.79 MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 143.82 MB
07 Increasing Performance with Vectorized Solutions/085 Refactoring the Linear Regression Class.mp4 72.71 MB
07 Increasing Performance with Vectorized Solutions/086 Refactoring to One Equation.mp4 84.8 MB
07 Increasing Performance with Vectorized Solutions/087 A Few More Changes.mp4 66.16 MB
07 Increasing Performance with Vectorized Solutions/088 Same Results Or Not.mp4 33.83 MB
07 Increasing Performance with Vectorized Solutions/089 Calculating Model Accuracy.mp4 80.36 MB
07 Increasing Performance with Vectorized Solutions/090 Implementing Coefficient of Determination.mp4 75.78 MB
07 Increasing Performance with Vectorized Solutions/091 Dealing with Bad Accuracy.mp4 71.41 MB
07 Increasing Performance with Vectorized Solutions/092 Reminder on Standardization.mp4 44.49 MB
07 Increasing Performance with Vectorized Solutions/093 Data Processing in a Helper Method.mp4 37.17 MB
07 Increasing Performance with Vectorized Solutions/094 Reapplying Standardization.mp4 57.96 MB
07 Increasing Performance with Vectorized Solutions/095 Fixing Standardization Issues.mp4 47.84 MB
07 Increasing Performance with Vectorized Solutions/096 Massaging Learning Rates.mp4 36.44 MB
07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4 121.42 MB
07 Increasing Performance with Vectorized Solutions/098 Refactoring for Multivariate Analysis.mp4 82.35 MB
07 Increasing Performance with Vectorized Solutions/099 Learning Rate Optimization.mp4 76.69 MB
07 Increasing Performance with Vectorized Solutions/100 Recording MSE History.mp4 51.94 MB
07 Increasing Performance with Vectorized Solutions/101 Updating Learning Rate.mp4 62.14 MB
08 Plotting Data with Javascript/102 Observing Changing Learning Rate and MSE.mp4 45.83 MB
08 Plotting Data with Javascript/103 Plotting MSE Values.mp4 61.39 MB
08 Plotting Data with Javascript/104 Plotting MSE History against B Values.mp4 47.8 MB
09 Gradient Descent Alterations/105 Batch and Stochastic Gradient Descent.mp4 77.23 MB
09 Gradient Descent Alterations/106 Refactoring Towards Batch Gradient Descent.mp4 55.11 MB
09 Gradient Descent Alterations/107 Determining Batch Size and Quantity.mp4 66.08 MB
09 Gradient Descent Alterations/108 Iterating Over Batches.mp4 67.45 MB
09 Gradient Descent Alterations/109 Evaluating Batch Gradient Descent Results.mp4 66.23 MB
09 Gradient Descent Alterations/110 Making Predictions with the Model.mp4 79.49 MB
10 Natural Binary Classification/111 Introducing Logistic Regression.mp4 23.44 MB
10 Natural Binary Classification/112 Logistic Regression in Action.mp4 61.07 MB
10 Natural Binary Classification/113 Bad Equation Fits.mp4 55.39 MB
10 Natural Binary Classification/114 The Sigmoid Equation.mp4 45.44 MB
10 Natural Binary Classification/115 Decision Boundaries.mp4 79.18 MB
10 Natural Binary Classification/116 Changes for Logistic Regression.mp4 12.49 MB
10 Natural Binary Classification/117 Project Setup for Logistic Regression.mp4 59.4 MB
10 Natural Binary Classification/119 Importing Vehicle Data.mp4 38.95 MB
10 Natural Binary Classification/120 Encoding Label Values.mp4 48.58 MB
10 Natural Binary Classification/121 Updating Linear Regression fro Logistic Regression.mp4 70.29 MB
10 Natural Binary Classification/122 The Sigmoid Equation with Logistic Regression.mp4 32.77 MB
10 Natural Binary Classification/123 A Touch More Refactoring.mp4 87.42 MB
10 Natural Binary Classification/124 Gauging Classification Accuracy.mp4 36.7 MB
10 Natural Binary Classification/125 Implementing a Test Function.mp4 54.71 MB
10 Natural Binary Classification/126 Variable Decision Boundaries.mp4 68.31 MB
10 Natural Binary Classification/127 Mean Squared Error vs Cross Entropy.mp4 60.2 MB
10 Natural Binary Classification/128 Refactoring with Cross Entropy.mp4 49.45 MB
10 Natural Binary Classification/129 Finishing the Cost Refactor.mp4 49.09 MB
10 Natural Binary Classification/130 Plotting Changing Cost History.mp4 42.95 MB
11 Multi-Value Classification/131 Multinominal Logistic Regression.mp4 25 MB
11 Multi-Value Classification/132 A Smart Refactor to Multinominal Analysis.mp4 49.97 MB
11 Multi-Value Classification/133 A Smarter Refactor.mp4 38.29 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 103.55 MB
11 Multi-Value Classification/135 Refactoring to Multi-Column Weights.mp4 48.49 MB
11 Multi-Value Classification/136 A Problem to Test Multinominal Classification.mp4 48.45 MB
11 Multi-Value Classification/137 Classifying Continuous Values.mp4 44.55 MB
11 Multi-Value Classification/138 Training a Multinominal Model.mp4 66.08 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 95.18 MB
11 Multi-Value Classification/140 Sigmoid vs Softmax.mp4 62.75 MB
11 Multi-Value Classification/141 Refactoring Sigmoid to Softmax.mp4 48.87 MB
11 Multi-Value Classification/142 Implementing Accuracy Gauges.mp4 28.71 MB
11 Multi-Value Classification/143 Calculating Accuracy.mp4 31.3 MB
12 Image Recognition In Action/144 Handwriting Recognition.mp4 24.69 MB
12 Image Recognition In Action/145 Greyscale Values.mp4 55.34 MB
12 Image Recognition In Action/146 Many Features.mp4 44.76 MB
12 Image Recognition In Action/147 Flattening Image Data.mp4 57.76 MB
12 Image Recognition In Action/148 Encoding Label Values.mp4 62 MB
12 Image Recognition In Action/149 Implementing an Accuracy Gauge.mp4 79.94 MB
12 Image Recognition In Action/150 Unchanging Accuracy.mp4 20.3 MB
12 Image Recognition In Action/151 Debugging the Calculation Process.mp4 89.04 MB
12 Image Recognition In Action/152 Dealing with Zero Variances.mp4 47.9 MB
12 Image Recognition In Action/153 Backfilling Variance.mp4 25.72 MB
13 Performance Optimization/154 Handing Large Datasets.mp4 44.46 MB
13 Performance Optimization/155 Minimizing Memory Usage.mp4 38.18 MB
13 Performance Optimization/156 Creating Memory Snapshots.mp4 49.05 MB
13 Performance Optimization/157 The Javascript Garbage Collector.mp4 55.8 MB
13 Performance Optimization/158 Shallow vs Retained Memory Usage.mp4 56.89 MB
13 Performance Optimization/159 Measuring Memory Usage.mp4 96.63 MB
13 Performance Optimization/160 Releasing References.mp4 35.98 MB
13 Performance Optimization/161 Measuring Footprint Reduction.mp4 43.3 MB
13 Performance Optimization/162 Optimization Tensorflow Memory Usage.mp4 18.53 MB
13 Performance Optimization/163 Tensorflows Eager Memory Usage.mp4 46.81 MB
13 Performance Optimization/164 Cleaning up Tensors with Tidy.mp4 24.26 MB
13 Performance Optimization/165 Implementing TF Tidy.mp4 37.59 MB
13 Performance Optimization/166 Tidying the Training Loop.mp4 45.99 MB
13 Performance Optimization/167 Measuring Reduced Memory Usage.mp4 18.11 MB
13 Performance Optimization/168 One More Optimization.mp4 27.49 MB
13 Performance Optimization/169 Final Memory Report.mp4 36.24 MB
13 Performance Optimization/170 Plotting Cost History.mp4 47.59 MB
13 Performance Optimization/171 NaN in Cost History.mp4 46.37 MB
13 Performance Optimization/172 Fixing Cost History.mp4 46.77 MB
13 Performance Optimization/173 Massaging Learning Parameters.mp4 22.55 MB
13 Performance Optimization/174 Improving Model Accuracy.mp4 55.01 MB
14 Appendix Custom CSV Loader/175 Loading CSV Files.mp4 15.85 MB
14 Appendix Custom CSV Loader/176 A Test Dataset.mp4 9.58 MB
14 Appendix Custom CSV Loader/177 Reading Files from Disk.mp4 18.59 MB
14 Appendix Custom CSV Loader/178 Splitting into Columns.mp4 20.34 MB
14 Appendix Custom CSV Loader/179 Dropping Trailing Columns.mp4 18.4 MB
14 Appendix Custom CSV Loader/180 Parsing Number Values.mp4 31.36 MB
14 Appendix Custom CSV Loader/181 Custom Value Parsing.mp4 36.72 MB
14 Appendix Custom CSV Loader/182 Extracting Data Columns.mp4 57.27 MB
14 Appendix Custom CSV Loader/183 Shuffling Data via Seed Phrase.mp4 52.14 MB
14 Appendix Custom CSV Loader/184 Splitting Test and Training.mp4 75.65 MB
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