Download Udemy - Loss Functions and Learning Rates for Data Scientists Torrent

Torrent Contents Size: 967 MB

Udemy - Loss Functions and Learning Rates for Data Scientists

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1 - Loss Functions How Neural Networks Measure Mistakes

1 - Introduction — The Engine of Learning.mp4

MP4

15.5 MB

1 - Practice Quiz – 1.html

HTML

20.3 KB

10 - From MSE Numbers to Weight Updates.html

HTML

6.7 KB

11 - Common Regression Losses.mp4

MP4

10.9 MB

12 - When Loss is High vs Low.mp4

MP4

6.5 MB

13 - Choosing a Regression Loss MSE, MAE, Huber.html

HTML

6.7 KB

14 - Loss Curves — The Shape Of Learning.mp4

MP4

10.5 MB

15 - Final Summary.mp4

MP4

23.2 MB

16 - Loss Curves Watching Learning Happen.html

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6.7 KB

2 - Learning Rate Fundamentals – How Neural Networks Take Steps Toward Accuracy

0 - The Sweet Spot — Balanced Learning.mp4

MP4

6.9 MB

10 - Practice Quiz – 10.html

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20.1 KB

17 - Introduction — The Speed of Learning.mp4

MP4

14 MB

18 - Story Analogy — Walking Down a Mountain.mp4

MP4

12.3 MB

19 - What is the Learning Rate.mp4

MP4

9.7 MB

20 - Learning Rate How Big Is Each Step.html

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6.2 KB

21 - Why Small Learning Rate Can Fail.mp4

MP4

5.5 MB

22 - Why Large Learning Rate Can Fail.mp4

MP4

6.5 MB

23 - Too Small, Too Large What Can Go Wrong.html

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6.5 KB

24 - Python Demo — Too Small, Too Large, Just Right.mp4

MP4

7.5 MB

25 - Loss Curves Reveal Everything.mp4

MP4

8.5 MB

26 - Seeing Learning Rate Through Experiments.html

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6.5 KB

27 - How Learning Rate Impacts Generalization.mp4

MP4

9.4 MB

28 - Learning Rate Schedules — Making Training Smart.mp4

MP4

10.5 MB

29 - Learning Rate, Generalization, and Schedules.html

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6.6 KB

3 - Mean Squared Error (MSE) in Neural Networks – The Core Loss for Regression

11 - Practice Quiz –11.html

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20.3 KB

12 - Practice Quiz – 12.html

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20.3 KB

13 - Practice Quiz – 13.html

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20.3 KB

14 - Practice Quiz – 14.html

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20.6 KB

15 - Practice Quiz – 15.html

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20.4 KB

34 - Introduction — The Most Popular Loss Function.mp4

MP4

10 MB

35 - When Do We Use MSE — The Real-Life Use Cases.mp4

MP4

7.1 MB

36 - Where MSE Shows Up in Real Models.html

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6.4 KB

37 - What Is MSE — Intuitive Explanation.mp4

MP4

6.2 MB

38 - Mini Example — Simple Linear Relationship.mp4

MP4

7.8 MB

39 - MSE Formula, Step by Step.html

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6.3 KB

4 - Binary Cross Entropy – The Loss Function for Yes No Decisions

16 - Practice Quiz – 16.html

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20 KB

17 - Practice Quiz – 17.html

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19.7 KB

18 - Practice Quiz – 18.html

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19.9 KB

19 - Practice Quiz – 19.html

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20.2 KB

20 - Practice Quiz – 20.html

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20.2 KB

49 - Introduction — The Loss Function for Classification.mp4

MP4

10.7 MB

5 - Categorical Cross Entropy – How Neural Networks Learn Multi‑Class Decisions

21 - Practice Quiz – 21.html

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20.4 KB

22 - Practice Quiz – 22.html

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20.2 KB

23 - Practice Quiz – 23.html

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20.4 KB

24 - Practice Quiz – 24.html

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20.2 KB

25 - Practice Quiz – 25.html

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20.2 KB

6 - The Vanishing Gradient Problem – Why Deep Networks Forget to Learn

26 - Practice Quiz – 26.html

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20.2 KB

27 - Practice Quiz – 27.html

HTML

20.1 KB

28 - Practice Quiz – 28.html

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20.4 KB

29 - Practice Quiz – 29.html

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20.1 KB

30 - Practice Quiz – 30.html

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20.7 KB

7 - Adaptive Learning Rate Algorithms – RMSprop, Adam & Modern Optimization

100 - Introduction — Adaptive Learning Rates.mp4

MP4

13.6 MB

101 - Why Fixed Learning Rates Are A Problem.mp4

MP4

11.7 MB

102 - Why One Fixed Learning Rate Isn’t Enough.html

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6.4 KB

103 - RMSprop — Root Mean Square Propagation.mp4

MP4

11.4 MB

104 - Why RMSprop Works.mp4

MP4

8.4 MB

105 - RMSprop Remembering Squared Gradients.html

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6.3 KB

106 - Adam — Adaptive Moment Estimation.mp4

MP4

13 MB

107 - Why Adam Dominates Deep Learning.mp4

MP4

5.6 MB

108 - Adam Momentum Meets RMSprop.html

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6.3 KB

109 - Visualizing Adam vs SGD vs RMSprop.mp4

MP4

12.2 MB

110 - When Adam Might Not Be Ideal.mp4

MP4

7.2 MB

111 - How SGD, RMSprop, and Adam Move Differently.html

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6.4 KB

112 - Python Mini-Demo — Using RMSprop & Adam.mp4

MP4

7.2 MB

113 - Summary Comparison Table.mp4

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23.7 MB

114 - Final Summary.mp4

MP4

25 MB

115 - Practical Choices When to Use Which Optimizer.html

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6.5 KB

31 - Practice Quiz – 31.html

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20.4 KB

32 - Practice Quiz – 32.html

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20 KB

33 - Practice Quiz – 33.html

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20 KB

34 - Practice Quiz – 34.html

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20 KB

35 - Practice Quiz – 35.html

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20 KB

8 - Batch Size Impact on Convergence – How Mini‑Batches Shape Training

116 - Introduction — Batch Size And Training Dynamics.mp4	MP4	9.8 MB
117 - What Is Batch Size (Concept).mp4	MP4	13 MB
118 - What Batch Size Really Means.html	HTML	6.2 KB
119 - Gradient Behavior With Different Batch Sizes.mp4	MP4	7.9 MB
120 - Full Batch Gradient Descent.mp4	MP4	8.1 MB
121 - Stochastic Gradient Descent (SGD).mp4	MP4	8.3 MB
122 - Noise vs Stability How Batch Size Shapes Gradients.html	HTML	6.3 KB
123 - Why Mini-Batch Is The Best Compromise.mp4	MP4	8.4 MB
124 - How Batch Size Affects Convergence Speed.mp4	MP4	8.6 MB
125 - Why Mini‑Batch Is the Sweet Spot.html	HTML	6.3 KB
126 - Generalization Vs Optimization.mp4	MP4	7.1 MB
127 - How Batch Size Influences Sharp Vs Flat Minima.mp4	MP4	9.9 MB
128 - Sharp vs Flat Minima Why Batch Size Affects Generalization.html	HTML	6.5 KB
129 - Practical Guidelines For Choosing Batch Size.mp4	MP4	7.6 MB
130 - Python Mini-Demo — Different Batch Sizes.mp4	MP4	8.7 MB
131 - Final Summary.mp4	MP4	23 MB
132 - Practical Batch Size Choices.html	HTML	6.5 KB
36 - Practice Quiz – 36.html	HTML	19.8 KB
37 - Practice Quiz – 37.html	HTML	19.9 KB
38 - Practice Quiz – 38.html	HTML	19.8 KB
39 - Practice Quiz – 39.html	HTML	20 KB
40 - Practice Quiz – 40.html	HTML	20.1 KB

83 - Introduction — The Vanishing Gradient Problem.mp4

MP4

11.9 MB

84 - What Are Gradients.mp4

MP4

7.1 MB

85 - Gradients as Learning Signals.html

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6.2 KB

86 - Why Do Gradients Vanish (The Math Intuition).mp4

MP4

8.4 MB

87 - Visualizing The Effect.mp4

MP4

8.9 MB

88 - Why Gradients Disappear in Deep Networks.html

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6.4 KB

89 - Vanishing Gradients in RNNs.mp4

MP4

8.6 MB

90 - Why RNNs Feel It Even More.html

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6.2 KB

91 - ReLU Activation.mp4

MP4

8.9 MB

92 - He & Xavier Initialization.mp4

MP4

6.8 MB

93 - Batch Normalization.mp4

MP4

4.4 MB

94 - Resnets (Skip Connections).mp4

MP4

7.6 MB

95 - LSTM & GRU For Sequences.mp4

MP4

7.7 MB

96 - The Toolbox for Fighting Vanishing Gradients.html

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7 KB

97 - Mini Python Demo — Seeing Gradients Vanish.mp4

MP4

6.4 MB

98 - Summary.mp4

MP4

15.7 MB

99 - Seeing Vanishing Gradients and Fixing Them.html

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6.6 KB

66 - Introduction — The Loss Function For Multi-Class Learning.mp4

MP4

10.9 MB

67 - What Is Categorical Cross Entropy — Simple Story.mp4

MP4

7.8 MB

68 - From Yes No to Many Classes.html

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6.5 KB

69 - The Mathematical Formula (Explained Friendly).mp4

MP4

14.3 MB

70 - Tiny Python Demo.mp4

MP4

9.3 MB

71 - Understanding the CCE Formula.html

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6.3 KB

72 - Sentiment Classification (Numeric Scores).mp4

MP4

7 MB

73 - Training Loop — Explained Step By Step.mp4

MP4

11.7 MB

74 - Softmax + CCE A Natural Pair.html

HTML

6.2 KB

75 - Testing — Sentiment Prediction.mp4

MP4

6.3 MB

76 - Extended Use Case — Real Text Sentiment Classifier.mp4

MP4

6.3 MB

77 - A Tiny 3‑Class Sentiment Pipeline.html

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6.3 KB

78 - Why Categorical Cross Entropy Is The Best For Multi-Class.mp4

MP4

5.4 MB

79 - Math Concepts Required.mp4

MP4

5.8 MB

80 - Diagram — Cross Entropy Loss Shape.mp4

MP4

5.1 MB

81 - Final Summary.mp4

MP4

21 MB

82 - Why CCE Is the Multi‑Class Standard.html

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6.3 KB

50 - What Is Binary Cross Entropy — Simple Story.mp4

MP4

10.3 MB

51 - Why Regression Losses Fail for Yes No Questions.html

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6.5 KB

52 - The Mathematical Formula (But Explained Like a Friend).mp4

MP4

14.2 MB

53 - Intuitive Table.mp4

MP4

8.5 MB

54 - Reading the BCE Formula Without Fear.html

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6.3 KB

55 - Why BCE Is Loved In Deep Learning.mp4

MP4

6.3 MB

56 - Where We Use BCE.mp4

MP4

6.1 MB

57 - Mini Story — Why Cross Entropy Makes Sense.mp4

MP4

5.3 MB

58 - Confidence Matters Why BCE Is Loved.html

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6.4 KB

59 - Python Demo.mp4

MP4

8.2 MB

60 - The Math Concepts Needed Before Learning BCE.mp4

MP4

15.6 MB

61 - BCE in Code What We Actually Compute.html

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6.3 KB

62 - Diagram — Cross Entropy Landscape.mp4

MP4

8 MB

63 - Why BCE Beats MSE For Classification.mp4

MP4

7 MB

64 - Final Summary.mp4

MP4

17.2 MB

65 - Why BCE Beats MSE for Binary Classification.html

HTML

6.4 KB

40 - Python Demo 1 — Calculating MSE Manually.mp4

MP4

9.6 MB

41 - MSE + Gradient Descent — How Learning Happens.mp4

MP4

10.2 MB

42 - From Manual MSE to Gradients.html

HTML

6.4 KB

43 - Python Demo 2 — Training A Neural Network With MSE.mp4

MP4

15 MB

44 - Flowchart — MSE-Based Training.mp4

MP4

8.9 MB

45 - An End‑to‑End MSE Training Loop.html

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6.5 KB

46 - What You Must Know Before MSE.mp4

MP4

6.3 MB

47 - Final Summary — Why MSE Matters.mp4

MP4

24.8 MB

48 - What We Really Need to Know About MSE.html

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6.4 KB

30 - Learning Rate Finder — A Practical Technique.mp4

MP4

8.5 MB

31 - Practical Guidelines for Choosing LR.mp4

MP4

8.7 MB

32 - Summary — The Heart Of Training Speed.mp4

MP4

30 MB

33 - LR Finder and Practical Rules.html

HTML

6.5 KB

6 - Practice Quiz – 6.html

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20 KB

7 - Practice Quiz – 7.html

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20.2 KB

8 - Practice Quiz – 8.html

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20.6 KB

9 - Practice Quiz – 9.html

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20.3 KB

2 - Practice Quiz – 2.html

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20.4 KB

2 - Story Analogy — The Archer and the Target.mp4

MP4

16.2 MB

3 - Practice Quiz – 3.html

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20.3 KB

3 - What Exactly is a Loss Function.mp4

MP4

9.6 MB

4 - Loss as Feedback The Blindfolded Archer.html

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6.9 KB

4 - Practice Quiz – 4.html

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19.9 KB

5 - Practice Quiz – 5.html

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20.2 KB

5 - Why We Square The Error — Three Reasons.mp4

MP4

12.4 MB

6 - Example — Predicting Salary.mp4

MP4

10.2 MB

7 - Why We Square the Error.html

HTML

6.9 KB

8 - Python Demo — MSE in Action.mp4

MP4

4.5 MB

9 - Loss + Gradient Descent — The Partnership.mp4

MP4

12.2 MB

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Udemy - Loss Functions and Learning Rates for Data Scientists

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