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Language:
English
Total Size:
2.3 GB
Info Hash:
8EF76CBAB81900D4D663641CB4F159B74FBCB062
Added By:
Added:
June 2, 2023, 9:14 a.m.
Stats:
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(Last updated: May 21, 2025, 2:48 p.m.)
| File | Size |
|---|---|
| 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url | 377 bytes |
| 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url | 328 bytes |
| 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286 bytes |
| 3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url | 163 bytes |
| 4. (FTUApps.com) Download Cracked Developers Applications For Free.url | 239 bytes |
| How you can help Team-FTU.txt | 237 bytes |
| 0101.Meet your instructors and why you should study machine learning.mp4 | 84.7 MB |
| 0102.What does the course cover.mp4 | 39.1 MB |
| 0201.Introduction to neural networks.mp4 | 45.7 MB |
| 0202.Training the model.mp4 | 26.8 MB |
| 0203.Types of machine learning.mp4 | 40.8 MB |
| 0204.The linear model.mp4 | 26.0 MB |
| 0205.The linear model. Multiple inputs.mp4 | 23.7 MB |
| 0206.The linear model. Multiple inputs and multiple outputs.mp4 | 42.2 MB |
| 0207.Graphical representation.mp4 | 22.0 MB |
| 0208.The objective function.mp4 | 17.7 MB |
| 0209.L2-norm loss.mp4 | 21.4 MB |
| 0210.Cross-entropy loss.mp4 | 33.4 MB |
| 0211.One parameter gradient descent.mp4 | 56.4 MB |
| 0212.N-parameter gradient descent.mp4 | 57.6 MB |
| 0301.Setting up the environment - An introduction - Do not skip, please!.mp4 | 6.9 MB |
| 0302.Why Python and why Jupyter.mp4 | 34.7 MB |
| 0303.Installing Anaconda.mp4 | 31.3 MB |
| 0304.The Jupyter dashboard - part 1.mp4 | 9.2 MB |
| 0305.The Jupyter dashboard - part 2.mp4 | 20.4 MB |
| 0306.Installing TensorFlow 2.mp4 | 51.2 MB |
| 0401.Minimal example - part 1.mp4 | 36.4 MB |
| 0402.Minimal example - part 2.mp4 | 23.7 MB |
| 0403.Minimal example - part 3.mp4 | 20.4 MB |
| 0404.Minimal example - part 4.mp4 | 30.4 MB |
| 0501.TensorFlow outline.mp4 | 42.0 MB |
| 0502.TensorFlow 2 intro.mp4 | 37.8 MB |
| 0503.A Note on Coding in TensorFlow.mp4 | 8.1 MB |
| 0504.Types of file formats in TensorFlow and data handling.mp4 | 13.3 MB |
| 0505.Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 | 32.9 MB |
| 0506.Interpreting the result and extracting the weights and bias.mp4 | 31.4 MB |
| 0507.Customizing your model.mp4 | 21.6 MB |
| 0601.Layers.mp4 | 20.5 MB |
| 0602.What is a deep net.mp4 | 32.6 MB |
| 0603.Understanding deep nets in depth.mp4 | 58.2 MB |
| 0604.Why do we need non-linearities.mp4 | 38.0 MB |
| 0605.Activation functions.mp4 | 38.0 MB |
| 0606.Softmax activation.mp4 | 25.0 MB |
| 0607.Backpropagation.mp4 | 52.7 MB |
| 0608.Backpropagation - visual representation.mp4 | 24.4 MB |
| 0701.Underfitting and overfitting.mp4 | 34.1 MB |
| 0702.Underfitting and overfitting - classification.mp4 | 32.5 MB |
| 0703.Training and validation.mp4 | 37.5 MB |
| 0704.Training, validation, and test.mp4 | 31.3 MB |
| 0705.N-fold cross validation.mp4 | 25.6 MB |
| 0706.Early stopping.mp4 | 28.3 MB |
| 0801.Initialization - Introduction.mp4 | 26.2 MB |
| 0802.Types of simple initializations.mp4 | 12.3 MB |
| 0803.Xavier initialization.mp4 | 19.1 MB |
| 0901.Stochastic gradient descent.mp4 | 34.5 MB |
| 0902.Gradient descent pitfalls.mp4 | 14.3 MB |
| 0903.Momentum.mp4 | 19.0 MB |
| 0904.Learning rate schedules.mp4 | 37.1 MB |
| 0905.Learning rate schedules. A picture.mp4 | 10.9 MB |
| 0906.Adaptive learning rate schedules.mp4 | 29.8 MB |
| 0907.Adaptive moment estimation.mp4 | 29.1 MB |
| 1001.Preprocessing introduction.mp4 | 25.6 MB |
| 1002.Basic preprocessing.mp4 | 11.1 MB |
| 1003.Standardization.mp4 | 40.4 MB |
| 1004.Dealing with categorical data.mp4 | 18.2 MB |
| 1005.One-hot and binary encoding.mp4 | 32.3 MB |
| 1101.The dataset.mp4 | 20.7 MB |
| 1102.How to tackle the MNIST.mp4 | 33.3 MB |
| 1103.Importing the relevant packages and load the data.mp4 | 15.8 MB |
| 1104.Preprocess the data - create a validation dataset and scale the data.mp4 | 27.1 MB |
| 1105.Preprocess the data - shuffle and batch the data.mp4 | 36.6 MB |
| 1106.Outline the model.mp4 | 27.4 MB |
| 1107.Select the loss and the optimizer.mp4 | 12.7 MB |
| 1108.Learning.mp4 | 20.4 MB |
| 1109.Testing the model.mp4 | 15.3 MB |
| 1201.Exploring the dataset and identifying predictors.mp4 | 30.2 MB |
| 1202.Outlining the business case solution.mp4 | 9.5 MB |
| 1203.Balancing the dataset.mp4 | 13.7 MB |
| 1204.Preprocessing the data.mp4 | 44.5 MB |
| 1205.Load the preprocessed data.mp4 | 18.2 MB |
| 1206.Learning and interpreting the result.mp4 | 26.4 MB |
| 1207.Setting an early stopping mechanism.mp4 | 21.5 MB |
| 1208.Testing the model.mp4 | 9.6 MB |
| 1301.See how much you have learned.mp4 | 38.9 MB |
| 1302.What's further out there in the machine and deep learning world.mp4 | 17.5 MB |
| 1303.An overview of CNNs.mp4 | 18.6 MB |
| 1304.An overview of RNNs.mp4 | 27.4 MB |
| 1305.An overview of non-NN approaches.mp4 | 40.2 MB |
| exercise_files.zip | 1.4 MB |
Name
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708.7 MB
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2023-06-02
| Uploaded by SunRiseZone | Size 708.7 MB | Health [ 0 /1 ] | Added 2023-06-02 |
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670.0 MB
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2023-10-28
| Uploaded by freecoursewb | Size 670.0 MB | Health [ 0 /2 ] | Added 2023-10-28 |
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760.0 MB
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2023-10-27
| Uploaded by freecoursewb | Size 760.0 MB | Health [ 0 /0 ] | Added 2023-10-27 |
NOTE
SOURCE: Packt | Master Deep Learning with TensorFlow 2.0 in Python [2019] [FCO]
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