|
RAR-files |
| pbnn-snhw-xqzt.rar |
50,000,000 |
7E9B88CA |
| pbnn-snhw-xqzt.r00 |
50,000,000 |
ADA7386E |
| pbnn-snhw-xqzt.r01 |
50,000,000 |
BBE8435B |
| pbnn-snhw-xqzt.r02 |
50,000,000 |
6D40D7C4 |
| pbnn-snhw-xqzt.r03 |
50,000,000 |
800D171F |
| pbnn-snhw-xqzt.r04 |
50,000,000 |
1679EE81 |
| pbnn-snhw-xqzt.r05 |
10,679,961 |
3E6377BD |
|
| Total size: |
310,679,961 |
|
|
| Archived
files |
|
building-neural-networks-scikit-learn.zip |
103,574,524 |
7BA0B330 |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\30 - Training a Classifier on All Features of the Input Data.mp4
[522c010334f7bc9]
|
12,419,887 |
EE6E4935 |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\28 - Restricted Boltzmann Machines for Dimensionality Reduction.mp4
[50a2f4d8eabb1ccc]
|
9,586,167 |
8C5B54F8 |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\31 - Dimensionality Reduction Using Restricted Boltzmann Machines.mp4
[a2a5e6a05e9c3ff]
|
12,914,150 |
408D7306 |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\29 - A Brief History of Restricted Boltzmann Machines.mp4
[d58ab4c62182a180]
|
6,465,872 |
3FA8C67E |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\32 - Summary and Further Study.mp4
[b6a8294e592c763]
|
1,736,251 |
8A08F482 |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn\27 - Module Overview.mp4
[bacb567ce9a78bc]
|
2,229,554 |
7AD859E4 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\12 - Exploring and Preparing the Diet Dataset for Regression.mp4
[e164b31581da17fb]
|
15,975,560 |
80714188 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\11 - Performing Regression Using Neural Networks.mp4
[5a13309e71a2147b]
|
8,762,669 |
629A75F5 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\15 - Exploring and Preparing the Spine Dataset for Classification.mp4
[171a1a0d670c4550]
|
9,644,515 |
34C6ED1B |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\17 - Module Summary.mp4
[677bd3d01a8c1f83]
|
1,900,947 |
88A5A978 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\14 - Performing Classification Using Neural Networks.mp4
[aedb77c81858f63]
|
4,055,940 |
730075EE |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\16 - Build and Train a Neural Network Using the MLPClassifier.mp4
[16adafa682f43508]
|
9,144,609 |
A15CD300 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\13 - Build and Train a Neural Network Using the MLPRegressor.mp4
[a207ea2f9ac9c9]
|
13,339,527 |
AAAC8033 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn\10 - Module Overview.mp4
[18c5118d14293a8a]
|
1,694,548 |
B1C62EE6 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\19 - Encoding Text in Numeric Form.mp4
[a1cd33f5f69ed763]
|
7,736,074 |
326BB77D |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\25 - Building and Training a Classification Model on Image Data.mp4
[59de247dcb9a3376]
|
7,763,545 |
B9F0329C |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\20 - Loading and Exploring the Newsgroup Dataset.mp4
[35ebdbd1bb6ec042]
|
5,163,720 |
E870039F |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\22 - Building and Training a Classification Model on Text Data.mp4
[7c105437e2b65ec2]
|
6,183,656 |
CFACD645 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\24 - Loading and Visualizing the Lego Bricks Image Dataset.mp4
[3344a79367d330d0]
|
9,895,787 |
76C65EE1 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\18 - Module Overview.mp4
[84ba19f7a92768df]
|
1,760,834 |
6DE69EB1 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\23 - Encoding Images in Numeric Form.mp4
[721cbaee316478e7]
|
4,238,819 |
479C8D4D |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\26 - Module Summary.mp4
[fae6ecbedd6e8016]
|
1,899,679 |
D3576BF8 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn\21 - Creating Feature Vectors from Text Data Using Tf-Idf.mp4
[b869871f8dee4182]
|
5,927,629 |
D85556AC |
|
1 - Course Overview\01 - Course Overview.mp4
[3b71551fb2791741]
|
3,470,383 |
75EAD09C |
|
2 - Introducing Neural Networks in scikit-learn\02 - Module Overview.mp4
[6dac5dfc0365f0c7]
|
1,628,564 |
EA62F7BB |
|
2 - Introducing Neural Networks in scikit-learn\07 - Training a Neural Network.mp4
[e7058dc799fd46b8]
|
8,741,462 |
D95B3B88 |
|
2 - Introducing Neural Networks in scikit-learn\08 - Overfitting and Underfitting.mp4
[3eb0ba7624088a6]
|
4,259,652 |
A78B58C1 |
|
2 - Introducing Neural Networks in scikit-learn\06 - Multi-layer Perceptrons and Neural Networks.mp4
[f19ed15a5f37c2d2]
|
5,150,715 |
3E135A2D |
|
2 - Introducing Neural Networks in scikit-learn\09 - Module Summary.mp4
[274e7601af5f2827]
|
1,878,245 |
35534DB7 |
|
2 - Introducing Neural Networks in scikit-learn\04 - Support for Neural Networks in scikit-learn.mp4
[83c1c79b316389da]
|
8,025,865 |
7417AEA8 |
|
2 - Introducing Neural Networks in scikit-learn\03 - Prerequisites and Course Outline.mp4
[6058e8e07502d978]
|
2,286,895 |
717353C1 |
|
2 - Introducing Neural Networks in scikit-learn\05 - Perceptrons and Neurons.mp4
[f6327c36df538375]
|
11,217,117 |
FF09A03B |
|
5 - Implementing Dimensionality Reduction Using Restricted Boltzmann Machines in scikit-learn |
0 |
00000000 |
|
3 - Implementing Regression and Classification Using Neural Networks in scikit-learn |
0 |
00000000 |
|
4 - Implementing Text and Image Classification Using Neural Networks in scikit-learn |
0 |
00000000 |
|
1 - Course Overview |
0 |
00000000 |
|
2 - Introducing Neural Networks in scikit-learn |
0 |
00000000 |
|
| Total size: |
310,673,361 |
|
|
