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