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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url |
377б |
| 0101.Meet your instructors and why you should study machine learning.mp4 |
84.75Мб |
| 0102.What does the course cover.mp4 |
39.08Мб |
| 0201.Introduction to neural networks.mp4 |
45.75Мб |
| 0202.Training the model.mp4 |
26.82Мб |
| 0203.Types of machine learning.mp4 |
40.85Мб |
| 0204.The linear model.mp4 |
26.04Мб |
| 0205.The linear model. Multiple inputs.mp4 |
23.69Мб |
| 0206.The linear model. Multiple inputs and multiple outputs.mp4 |
42.21Мб |
| 0207.Graphical representation.mp4 |
21.96Мб |
| 0208.The objective function.mp4 |
17.70Мб |
| 0209.L2-norm loss.mp4 |
21.40Мб |
| 0210.Cross-entropy loss.mp4 |
33.40Мб |
| 0211.One parameter gradient descent.mp4 |
56.41Мб |
| 0212.N-parameter gradient descent.mp4 |
57.61Мб |
| 0301.Setting up the environment - An introduction - Do not skip, please!.mp4 |
6.91Мб |
| 0302.Why Python and why Jupyter.mp4 |
34.69Мб |
| 0303.Installing Anaconda.mp4 |
31.33Мб |
| 0304.The Jupyter dashboard - part 1.mp4 |
9.24Мб |
| 0305.The Jupyter dashboard - part 2.mp4 |
20.37Мб |
| 0306.Installing TensorFlow 2.mp4 |
51.17Мб |
| 0401.Minimal example - part 1.mp4 |
36.36Мб |
| 0402.Minimal example - part 2.mp4 |
23.74Мб |
| 0403.Minimal example - part 3.mp4 |
20.43Мб |
| 0404.Minimal example - part 4.mp4 |
30.41Мб |
| 0501.TensorFlow outline.mp4 |
41.97Мб |
| 0502.TensorFlow 2 intro.mp4 |
37.84Мб |
| 0503.A Note on Coding in TensorFlow.mp4 |
8.14Мб |
| 0504.Types of file formats in TensorFlow and data handling.mp4 |
13.28Мб |
| 0505.Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 |
32.94Мб |
| 0506.Interpreting the result and extracting the weights and bias.mp4 |
31.38Мб |
| 0507.Customizing your model.mp4 |
21.62Мб |
| 0601.Layers.mp4 |
20.55Мб |
| 0602.What is a deep net.mp4 |
32.60Мб |
| 0603.Understanding deep nets in depth.mp4 |
58.18Мб |
| 0604.Why do we need non-linearities.mp4 |
37.97Мб |
| 0605.Activation functions.mp4 |
37.97Мб |
| 0606.Softmax activation.mp4 |
24.98Мб |
| 0607.Backpropagation.mp4 |
52.73Мб |
| 0608.Backpropagation - visual representation.mp4 |
24.39Мб |
| 0701.Underfitting and overfitting.mp4 |
34.06Мб |
| 0702.Underfitting and overfitting - classification.mp4 |
32.48Мб |
| 0703.Training and validation.mp4 |
37.52Мб |
| 0704.Training, validation, and test.mp4 |
31.32Мб |
| 0705.N-fold cross validation.mp4 |
25.57Мб |
| 0706.Early stopping.mp4 |
28.33Мб |
| 0801.Initialization - Introduction.mp4 |
26.17Мб |
| 0802.Types of simple initializations.mp4 |
12.29Мб |
| 0803.Xavier initialization.mp4 |
19.12Мб |
| 0901.Stochastic gradient descent.mp4 |
34.48Мб |
| 0902.Gradient descent pitfalls.mp4 |
14.35Мб |
| 0903.Momentum.mp4 |
18.96Мб |
| 0904.Learning rate schedules.mp4 |
37.08Мб |
| 0905.Learning rate schedules. A picture.mp4 |
10.93Мб |
| 0906.Adaptive learning rate schedules.mp4 |
29.83Мб |
| 0907.Adaptive moment estimation.mp4 |
29.08Мб |
| 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url |
328б |
| 1001.Preprocessing introduction.mp4 |
25.55Мб |
| 1002.Basic preprocessing.mp4 |
11.11Мб |
| 1003.Standardization.mp4 |
40.37Мб |
| 1004.Dealing with categorical data.mp4 |
18.22Мб |
| 1005.One-hot and binary encoding.mp4 |
32.26Мб |
| 1101.The dataset.mp4 |
20.74Мб |
| 1102.How to tackle the MNIST.mp4 |
33.29Мб |
| 1103.Importing the relevant packages and load the data.mp4 |
15.85Мб |
| 1104.Preprocess the data - create a validation dataset and scale the data.mp4 |
27.05Мб |
| 1105.Preprocess the data - shuffle and batch the data.mp4 |
36.58Мб |
| 1106.Outline the model.mp4 |
27.36Мб |
| 1107.Select the loss and the optimizer.mp4 |
12.71Мб |
| 1108.Learning.mp4 |
20.43Мб |
| 1109.Testing the model.mp4 |
15.26Мб |
| 1201.Exploring the dataset and identifying predictors.mp4 |
30.16Мб |
| 1202.Outlining the business case solution.mp4 |
9.52Мб |
| 1203.Balancing the dataset.mp4 |
13.75Мб |
| 1204.Preprocessing the data.mp4 |
44.52Мб |
| 1205.Load the preprocessed data.mp4 |
18.22Мб |
| 1206.Learning and interpreting the result.mp4 |
26.40Мб |
| 1207.Setting an early stopping mechanism.mp4 |
21.45Мб |
| 1208.Testing the model.mp4 |
9.63Мб |
| 1301.See how much you have learned.mp4 |
38.88Мб |
| 1302.What's further out there in the machine and deep learning world.mp4 |
17.51Мб |
| 1303.An overview of CNNs.mp4 |
18.62Мб |
| 1304.An overview of RNNs.mp4 |
27.42Мб |
| 1305.An overview of non-NN approaches.mp4 |
40.17Мб |
| 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
| 3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url |
163б |
| 4. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239б |
| exercise_files.zip |
1.37Мб |
| How you can help Team-FTU.txt |
237б |