[FreeCoursesOnline Me] PacktPub - Deep Learning with Real World Projects [Video]

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[FreeCoursesOnline Me] PacktPub - Deep Learning with Real World Projects [Video]

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Name:[FreeCoursesOnline Me] PacktPub - Deep Learning with Real World Projects [Video]

Infohash: A6C470F088388A0CB7BA0C8EE31B8F13AEFC0E97

Total Size: 7.03 GB

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Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-08 01:04:47 (Update Now)

Torrent added: 2020-01-21 00:00:29

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0. Websites you may like (Size: 7.03 GB) (Files: 161)

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How you can help our Group!.txt

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1 - Introduction

Activation Functions.mp4

151.30 MB

Code Password.mp4

719.85 KB

History of Deep learning.mp4

81.44 MB

Introduction.mp4

65.60 MB

Multi-Level Perceptrons.mp4

81.52 MB

Neural Network Playground.mp4

152.12 MB

Perceptrons.mp4

37.66 MB

Representations.mp4

158.08 MB

Training Neural Network - Part 1.mp4

122.56 MB

Training Neural Network - Part 2.mp4

56.79 MB

Training Neural Network - Part 3.mp4

110.75 MB

10 - CNN-Industry Live Project - Find..Save Life

Introduction.mp4

10.86 MB

Working with X-Ray images - Case Study - Part 1.mp4

9.03 MB

Working with X-Ray images - Case Study - Part 2.mp4

8.82 MB

Working with X-Ray images - Case Study - Part 3.mp4

14.09 MB

Working with X-Ray images - Case Study - Part 4.mp4

18.31 MB

Working with X-Ray images - Case Study - Part 5.mp4

26.57 MB

Working with X-Ray images - Case Study - Part 6.mp4

18.34 MB

11 - Recurrent Neural Networks - Introduction

Architecture.mp4

22.48 MB

Batch data.mp4

8.52 MB

Introduction to RNN.mp4

13.47 MB

One-to-Many.mp4

17.41 MB

RNN - Part 1.mp4

9.87 MB

RNN Formula.mp4

29.21 MB

RNN Part 2.mp4

6.43 MB

Simplified Notations.mp4

29.40 MB

Training RNN.mp4

11.60 MB

Types of RNN - Part 1.mp4

7.41 MB

Types of RNN - Part 2.mp4

13.22 MB

Vanishing Gradient.mp4

21.37 MB

12 - Recurrent Neural Networks - LSTM

Bidirectional RNN.mp4

14.31 MB

Gated Recurrent Network (GRU).mp4

27.03 MB

Introduction.mp4

4.43 MB

LSTM - Part 1.mp4

7.66 MB

LSTM - Part 2.mp4

5.96 MB

LSTM - Part 3.mp4

4.17 MB

LSTM - Part 4.mp4

11.56 MB

LSTM - Part 5.mp4

19.68 MB

LSTM Equation.mp4

8.51 MB

Online Offline Mode.mp4

10.25 MB

13 - Recurrent Neutral Networks - Part-Of-Speech Tagger

Part-Of-Speech Tagger case- study (Part-2).mp4

87.66 MB

Part-Of-Speech Tagger case- study (Part-3).mp4

42.59 MB

Part-Of-Speech Tagger case- study (Part-4).mp4

57.08 MB

Part-Of-Speech Tagger case- study (Part-5).mp4

109.35 MB

Part-Of-Speech Tagger case- study (Part-6).mp4

25.65 MB

Part-Of-Speech Tagger case- study (Part-7).mp4

59.99 MB

Part-Of-Speech Tagger case- study (Part-8).mp4

120.05 MB

Part-Of-Speech Tagger case- study (Part-9).mp4

30.86 MB

Part-Of-Speech Tagger case-study (Part-1).mp4

56.18 MB

14 - Text generation using RNN

Text Generation - Code generator case- study (Part-1).mp4

171.29 MB

Text Generation - Code generator case- study (Part-2).mp4

105.19 MB

Text Generation - Code generator case- study (Part-3).mp4

48.67 MB

Text Generation - Code generator case- study (Part-4).mp4

40.03 MB

2 - Artificial Neural Networks-Introduction

Activation Functions.mp4

41.88 MB

Assumptions in Neural Networks.mp4

45.80 MB

Deep Learning.mp4

28.97 MB

Example for Perceptron.mp4

44.98 MB

Homogeneous Co-ordinate.mp4

23.61 MB

Input Layer.mp4

53.57 MB

Introduction.mp4

23.91 MB

Multi Classifier.mp4

37.87 MB

Neural Networks.mp4

49.32 MB

Output Layer.mp4

14.07 MB

Perceptron for Classifiers.mp4

31.96 MB

Perceptron in Depth.mp4

30.71 MB

Perceptron.mp4

29.65 MB

Sigmoid function.mp4

26.53 MB

Training in Neural Networks.mp4

32.74 MB

Understanding Human Brain.mp4

26.64 MB

Understanding MNIST.mp4

20.44 MB

Understanding Notations.mp4

99.95 MB

3 - ANN - Feed Forward Network

Bidirectional RNN.mp4

43.49 MB

Introduction.mp4

50.45 MB

Online Offline Mode.mp4

36.04 MB

Pseudocode for Batch.mp4

28.82 MB

Pseudocode.mp4

40.65 MB

Understanding Dimensions.mp4

58.63 MB

Vectorised Methods.mp4

81.39 MB

4 - Back Propagation

Back Propagation Training - Part 1.mp4

46.54 MB

Back Propagation Training - Part 10.mp4

23.04 MB

Back Propagation Training - Part 2.mp4

38.07 MB

Back Propagation Training - Part 3.mp4

14.74 MB

Back Propagation Training - Part 4.mp4

34.74 MB

Back Propagation Training - Part 5.mp4

34.76 MB

Back Propagation Training - Part 6.mp4

23.30 MB

Back Propagation Training - Part 7.mp4

20.59 MB

Back Propagation Training - Part 8.mp4

27.00 MB

Back Propagation Training - Part 9.mp4

28.96 MB

Finding Global Minima.mp4

10.31 MB

Introducing Loss Function.mp4

44.13 MB

Introduction.mp4

35.37 MB

Pseudocode.mp4

12.67 MB

SGD.mp4

38.95 MB

Sigmoid Function.mp4

25.96 MB

Training for Batches.mp4

22.82 MB

5 - Regularisation

Batch Normalisation - Part 1.mp4

36.08 MB

Batch Normalisation - Part 2.mp4

37.55 MB

Batch Normalisation - Part 3.mp4

50.64 MB

Dropouts Part 1.mp4

24.18 MB

Dropouts Part 2.mp4

13.46 MB

Introducing Keras.mp4

122.91 MB

Introducing TensorFlow.mp4

45.42 MB

Introduction to Regularisation.mp4

49.04 MB

6 - Convolution Neural Networks

Applications for CNN.mp4

54.50 MB

Combining Network.mp4

53.18 MB

Convolution - Part 1.mp4

43.40 MB

Convolution - Part 2.mp4

79.49 MB

Feature Map.mp4

127.57 MB

Formulas.mp4

18.56 MB

Idea behind CNN - Part 1.mp4

45.92 MB

Idea behind CNN - Part 2.mp4

75.88 MB

Images.mp4

161.11 MB

Introduction.mp4

42.93 MB

Padding.mp4

15.13 MB

Pooling.mp4

70.59 MB

Stride and Padding.mp4

34.19 MB

Video.mp4

40.00 MB

Weight and Bias.mp4

82.52 MB

7 - CNN-Keras

Introduction.mp4

7.73 MB

Practical on CNN - Case Study - Part 1.mp4

10.29 MB

Practical on CNN - Case Study - Part 2.mp4

28.31 MB

Practical on CNN - Case Study - Part 3.mp4

36.00 MB

Practical on CNN - Case Study - Part 4.mp4

13.22 MB

Practical on CNN - Case Study - Part 5.mp4

7.50 MB

VGG16 (Visual Geometry Group).mp4

44.63 MB

8 - CNN-Transfer Learning

AlexNet.mp4

73.82 MB

Analysis - Part 1.mp4

109.77 MB

Analysis - Part 2.mp4

46.01 MB

Case Study - Part 1.mp4

194.08 MB

Case Study - Part 2.mp4

95.90 MB

Case Study - Part 3.mp4

39.14 MB

GoogleNet.mp4

48.70 MB

Introduction.mp4

44.61 MB

ResNet - Part 1.mp4

32.30 MB

ResNet - Part 2.mp4

28.15 MB

Transfer Learning - Part 1.mp4

7.42 MB

Transfer Learning - Part 2.mp4

19.86 MB

Transfer Learning - Part 3.mp4

35.32 MB

Transfer Learning - Part 4.mp4

39.90 MB

Transfer Learning - Part 5.mp4

27.10 MB

Transfer Learning - Part 6.mp4

36.34 MB

9 - CNN-Industry Live Project - Playing..Natural Images

Introduction.mp4

19.69 MB

Working with Flower Images - Case Study - Part 1.mp4

49.56 MB

Working with Flower Images - Case Study - Part 10.mp4

56.74 MB

Working with Flower Images - Case Study - Part 11.mp4

61.74 MB

Working with Flower Images - Case Study - Part 12.mp4

159.46 MB

Working with Flower Images - Case Study - Part 13.mp4

31.75 MB

Working with Flower Images - Case Study - Part 14.mp4

75.11 MB

Working with Flower Images - Case Study - Part 2.mp4

118.70 MB

Working with Flower Images - Case Study - Part 3.mp4

50.13 MB

Working with Flower Images - Case Study - Part 4.mp4

48.57 MB

Working with Flower Images - Case Study - Part 5.mp4

39.33 MB

Working with Flower Images - Case Study - Part 6.mp4

72.10 MB

Working with Flower Images - Case Study - Part 7.mp4

26.29 MB

Working with Flower Images - Case Study - Part 8.mp4

91.39 MB

Working with Flower Images - Case Study - Part 9.mp4

81.05 MB

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