Udemy - Deep Learning ANN: Artificial Neural Networks with Python

seeders: 0 leechers: 0
Added 5 years ago by tutsnode in Other
Downloaded 9 times.
1337x.to thepiratebay.org
Udemy - Deep Learning ANN: Artificial Neural Networks with Python

Torrent Contents Size: 4.4 GB

Udemy - Deep Learning ANN: Artificial Neural Networks with Python
▼ show more 201 files
0
39 KB
1
662.4 KB
001 Introduction to the Deep Neural Networks.en.srt
SRT
13.7 KB
001 Introduction to the Deep Neural Networks.mp4
MP4
53.4 MB
2
307.7 KB
002 Why Deep learning Networks (DNN).en.srt
SRT
8.7 KB
002 Why Deep learning Networks (DNN).mp4
MP4
24.1 MB
3
974.9 KB
003 Feedbacks and Review.en.srt
SRT
2.5 KB
003 Feedbacks and Review.mp4
MP4
28.7 MB
004 Link to the Python codes for the projects and the data.html
HTML
2.1 KB
4
77.5 KB
005 Introduction to Machine Learning, Learning Process and Supervised Learning.en.srt
SRT
18.9 KB
005 Introduction to Machine Learning, Learning Process and Supervised Learning.mp4
MP4
151.7 MB
006 UnSupervised Learning and Reinforcement Learning.en.srt
SRT
10.4 KB
006 UnSupervised Learning and Reinforcement Learning.mp4
MP4
60.8 MB
6
363.3 KB
007 History and Future of Machine Learning.en.srt
SRT
15.7 KB
007 History and Future of Machine Learning.mp4
MP4
123 MB
7
228.4 KB
8
814.5 KB
008 Dataset, Label and Features.en.srt
SRT
17.8 KB
008 Dataset, Label and Features.mp4
MP4
109.8 MB
009 Training Data,Testing Data and Outliers.en.srt
SRT
8 KB
009 Training Data,Testing Data and Outliers.mp4
MP4
51.1 MB
9
599.9 KB
010 Machine Learning Model.en.srt
SRT
8.2 KB
10
452.9 KB
010 Machine Learning Model.mp4
MP4
70.3 MB
011 Difference between Classification and Regression.en.srt
SRT
9.1 KB
011 Difference between Classification and Regression.mp4
MP4
61 MB
11
590.5 KB
012 Function, Parameters and Hyperparameters.mp4
MP4
81.8 MB
12
176.4 KB
012 Function, Parameters and Hyperparameters.en.srt
SRT
9.9 KB
13
87.9 KB
013 Model Training, Cost, Error, Loss, Risk and Accuracy.en.srt
SRT
12.4 KB
013 Model Training, Cost, Error, Loss, Risk and Accuracy.mp4
MP4
84.5 MB
014 Optimization.en.srt
SRT
8.9 KB
014 Optimization.mp4
MP4
62.7 MB
14
972.9 KB
015 Overfitting, Underfitting and Just Right Optimum (Part 1).en.srt
SRT
6.1 KB
15
131.3 KB
015 Overfitting, Underfitting and Just Right Optimum (Part 1).mp4
MP4
43.8 MB
016 Overfitting, Underfitting and Just Right Optimum (Part 2).en.srt
SRT
2.6 KB
016 Overfitting, Underfitting and Just Right Optimum (Part 2).mp4
MP4
20.8 MB
16
482.8 KB
017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.en.srt
SRT
12.7 KB
017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.mp4
MP4
94.4 MB
17
216.8 KB
18
387 KB
018 Probability Distributions and Curse of Dimensionlity.en.srt
SRT
9.3 KB
018 Probability Distributions and Curse of Dimensionlity.mp4
MP4
93.8 MB
019 Small Sample Size problems,One Shot Learning.en.srt
SRT
7 KB
019 Small Sample Size problems,One Shot Learning.mp4
MP4
39.1 MB
19
880.2 KB
020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.en.srt
SRT
16.3 KB
020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.mp4
MP4
112.6 MB
20
270.7 KB
021 General Flow of a typical Machine Learning Project.en.srt
SRT
8.2 KB
021 General Flow of a typical Machine Learning Project.mp4
MP4
38.3 MB
21
640.6 KB
022 Introduction to Python.en.srt
SRT
4.3 KB
22
35.9 KB
022 Introduction to Python.mp4
MP4
13.2 MB
023 Introduction to IDE,Hello World.en.srt
SRT
9.9 KB
23
738.8 KB
023 Introduction to IDE,Hello World.mp4
MP4
40.3 MB
24
115.6 KB
024 Introduction to Data Type, Numbers.en.srt
SRT
7 KB
024 Introduction to Data Type, Numbers.mp4
MP4
31.2 MB
25
346.2 KB
025 Variable and Operators (Numbers).en.srt
SRT
10.3 KB
025 Variable and Operators (Numbers).mp4
MP4
41.2 MB
26
353.4 KB
026 Variables and Operators (Rational Operators and Functions).en.srt
SRT
14.8 KB
026 Variables and Operators (Rational Operators and Functions).mp4
MP4
61.7 MB
027 Variables and Operators (String).en.srt
SRT
9.4 KB
27
106.4 KB
027 Variables and Operators (String).mp4
MP4
45.4 MB
028 Variables and Operators (String and print Statement).mp4
MP4
47.3 MB
28
345 KB
028 Variables and Operators (String and print Statement).en.srt
SRT
9.3 KB
029 Lists(Indexing,Slicing-Built in Lists Functions).mp4
MP4
136 MB
29
987.5 KB
029 Lists(Indexing,Slicing-Built in Lists Functions).en.srt
SRT
26.8 KB
30
177.9 KB
030 Lists(Copying a List).en.srt
SRT
4.8 KB
030 Lists(Copying a List).mp4
MP4
27.5 MB
031 Tuples(Indexing,Slicing,Built in Tuple Functions).mp4
MP4
26 MB
31
247.6 KB
031 Tuples(Indexing,Slicing,Built in Tuple Functions).en.srt
SRT
5.2 KB
032 Set(initialize,Built in Set Functions).mp4
MP4
29.3 MB
32
561.6 KB
032 Set(initialize,Built in Set Functions).en.srt
SRT
5 KB
33
182.8 KB
033 Dictionary.en.srt
SRT
5.6 KB
033 Dictionary.mp4
MP4
26.6 MB
034 Logical Operator,Decision Making,For Loops,While Loops,Functions.en.srt
SRT
9.7 KB
34
611.9 KB
034 Logical Operator,Decision Making,For Loops,While Loops,Functions.mp4
MP4
30.5 MB
035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.mp4
MP4
74.4 MB
35
639.8 KB
035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.en.srt
SRT
18.8 KB
036 Functions.mp4
MP4
48.2 MB
36
948.1 KB
036 Functions.en.srt
SRT
12.1 KB
037 Calculator Project.en.srt
SRT
18.4 KB
037 Calculator Project.mp4
MP4
100.4 MB
37
69.8 KB
38
827.2 KB
038 Introduction to Artificial Neural Networks.en.srt
SRT
10.7 KB
038 Introduction to Artificial Neural Networks.mp4
MP4
89 MB
039 Neuron and Perceptron.en.srt
SRT
12.8 KB
39
137.3 KB
039 Neuron and Perceptron.mp4
MP4
75.7 MB
040 Deep Neural Network Architecture.en.srt
SRT
9.4 KB
040 Deep Neural Network Architecture.mp4
MP4
43.1 MB
40
706.2 KB
41
575.3 KB
041 FeedForward fully Connected MLP.en.srt
SRT
5.6 KB
041 FeedForward fully Connected MLP.mp4
MP4
26.9 MB
042 Calculating Number of weights of DNN.mp4
MP4
35.7 MB
42
322.5 KB
042 Calculating Number of weights of DNN.en.srt
SRT
7.3 KB
043 Number Of Neurons Vs Number Of Layers.en.srt
SRT
10.9 KB
43
602.5 KB
043 Number Of Neurons Vs Number Of Layers.mp4
MP4
35.4 MB
044 Discriminative Vs Generative Learning.en.srt
SRT
6.1 KB
044 Discriminative Vs Generative Learning.mp4
MP4
41.1 MB
44
230.5 KB
045 Universal Approximation Theorem.en.srt
SRT
7.5 KB
045 Universal Approximation Theorem.mp4
MP4
53.4 MB
45
894.8 KB
046 Why Depth.mp4
MP4
23.9 MB
46
310.5 KB
046 Why Depth.en.srt
SRT
5.2 KB
047 Decision Boundary in DNN.mp4
MP4
38.3 MB
47
600.5 KB
047 Decision Boundary in DNN.en.srt
SRT
6.5 KB
048 Bias Term.en.srt
SRT
6.3 KB
048 Bias Term.mp4
MP4
44.4 MB
48
836.6 KB
49
952.7 KB
049 The Activation Function.en.srt
SRT
9.3 KB
049 The Activation Function.mp4
MP4
40 MB
050 DNN Training Parameters.en.srt
SRT
12.8 KB
050 DNN Training Parameters.mp4
MP4
55.8 MB
50
676.3 KB
051 Gradient Descent.en.srt
SRT
9.6 KB
51
978.8 KB
051 Gradient Descent.mp4
MP4
42.7 MB
52
887.9 KB
052 Backpropagation.en.srt
SRT
14.1 KB
052 Backpropagation.mp4
MP4
58.8 MB
53
708.7 KB
053 Training DNN Animantion.en.srt
SRT
4.3 KB
053 Training DNN Animantion.mp4
MP4
48.9 MB
54
715.7 KB
054 Weigth Initialization.en.srt
SRT
11.9 KB
054 Weigth Initialization.mp4
MP4
65.7 MB
055 Batch MiniBatch Stocastic.en.srt
SRT
10.6 KB
055 Batch MiniBatch Stocastic.mp4
MP4
56.5 MB
55
946.3 KB
056 Batch Normalization.mp4
MP4
35.4 MB
56
345.8 KB
056 Batch Normalization.en.srt
SRT
6.6 KB
57
565.3 KB
057 Rprop Momentum.en.srt
SRT
15.6 KB
057 Rprop Momentum.mp4
MP4
88.9 MB
058 convergence Animation.en.srt
SRT
4.3 KB
58
593.7 KB
058 convergence Animation.mp4
MP4
47.9 MB
059 Drop Out Early Stopping Hyperparameters.en.srt
SRT
16.8 KB
059 Drop Out Early Stopping Hyperparameters.mp4
MP4
80.1 MB
59
772.8 KB
060 Python Packages for Data Science.en.srt
SRT
8.4 KB
060 Python Packages for Data Science.mp4
MP4
66.9 MB
60
539.5 KB
061 NumPy Pandas and Matplotlib (Part 1).en.srt
SRT
10.1 KB
061 NumPy Pandas and Matplotlib (Part 1).mp4
MP4
44.7 MB
61
276.5 KB
62
689.7 KB
062 NumPy Pandas and Matplotlib (Part 2).en.srt
SRT
7.8 KB
062 NumPy Pandas and Matplotlib (Part 2).mp4
MP4
42.4 MB
063 NumPy Pandas and Matplotlib (Part 3).en.srt
SRT
12.8 KB
063 NumPy Pandas and Matplotlib (Part 3).mp4
MP4
72 MB
63
269.7 KB
064 NumPy Pandas and Matplotlib (Part 4).en.srt
SRT
16 KB
064 NumPy Pandas and Matplotlib (Part 4).mp4
MP4
94.6 MB
64
472.4 KB
65
91.1 KB
065 NumPy Pandas and Matplotlib (Part 5).en.srt
SRT
14.6 KB
065 NumPy Pandas and Matplotlib (Part 5).mp4
MP4
81.6 MB
066 NumPy Pandas and Matplotlib (Part 6).en.srt
SRT
12.4 KB
66
389.4 KB
066 NumPy Pandas and Matplotlib (Part 6).mp4
MP4
61.9 MB
067 DataSet Preprocessing.en.srt
SRT
18.8 KB
067 DataSet Preprocessing.mp4
MP4
91.9 MB
68
956.9 KB
068 TensorFlow for classification.en.srt
SRT
23.5 KB
068 TensorFlow for classification.mp4
MP4
156.4 MB
069 COVID19 Data Analysis.mp4
MP4
127.9 MB
69
58.4 KB
069 COVID19 Data Analysis.en.srt
SRT
18.8 KB
070 COVID19 Regression with TensorFlow.en.srt
SRT
22 KB
070 COVID19 Regression with TensorFlow.mp4
MP4
183.2 MB
071 THANK YOU Bonus Video.en.srt
SRT
2.6 KB
071 THANK YOU Bonus Video.mp4
MP4
29.7 MB
072 Understanding Gradient Decsent.en.srt
SRT
9.9 KB
072 Understanding Gradient Decsent.mp4
MP4
38.1 MB
073 Understanding Gradient Decsent.en.srt
SRT
21.6 KB
073 Understanding Gradient Decsent.mp4
MP4
107.2 MB
TutsNode.com.txt
TXT
102.4 B
[TGx]Downloaded from torrentgalaxy.to .txt
TXT
614.4 B
70
166.6 KB

Description

Related Torrents

Location

Trackers

Tracker name
udp://inferno.demonoid.pw:3391/announce
udp://tracker.openbittorrent.com:80/announce
udp://tracker.opentrackr.org:1337/announce
udp://torrent.gresille.org:80/announce
udp://glotorrents.pw:6969/announce
udp://tracker.leechers-paradise.org:6969/announce
udp://tracker.pirateparty.gr:6969/announce
udp://tracker.coppersurfer.tk:6969/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://9.rarbg.to:2710/announce
udp://shadowshq.yi.org:6969/announce
udp://tracker.zer0day.to:1337/announce
udp://tracker.zer0day.to:1337/announce
udp://tracker.leechers-paradise.org:6969/announce
udp://coppersurfer.tk:6969/announce
Torrent hash: