Packt | Troubleshooting Python Deep Learning [FCO]

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Packt | Troubleshooting Python Deep Learning [FCO]

Torrent Contents Size: 487.4 MB

Packt | Troubleshooting Python Deep Learning [FCO]
▼ show more 36 files
01.The Course Overview.mp4
MP4
37.6 MB
02.Concatenate Two CNNs Correctly.mp4
MP4
74 MB
03.Splitting Trained Model.mp4
MP4
13.2 MB
04.Resolving fit_generator Errors.mp4
MP4
7.6 MB
05.Model Object Has No Attribute load_model Keras.mp4
MP4
3.2 MB
06.High val_acc, But Low Accuracy in Practice.mp4
MP4
11 MB
07.Error in Adding a Dense Layer.mp4
MP4
4.8 MB
08.Model with Multiple Outputs Errors.mp4
MP4
3.9 MB
09.Model That Uses Dropout Is Still Overfitting.mp4
MP4
8.1 MB
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307.2 B
10.When the Value Error Input 0 Is Incompatible with Layer conv2d_1.mp4
MP4
6.4 MB
11.Interpreting kernel_size Notation in CNNs.mp4
MP4
9.9 MB
12.Choosing Last Layer’s Activation Function in CNN.mp4
MP4
7.5 MB
13.Using Validation Accuracy.mp4
MP4
8.8 MB
14.Error When Using CNN to Classify Text.mp4
MP4
8.3 MB
15.Kernel Weight Initialization in CNN Model.mp4
MP4
5.4 MB
16.Common Problems When Using Pre-Trained CNN Models.mp4
MP4
7.6 MB
17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4
MP4
8.7 MB
18.Building an RNN Model in Keras.mp4
MP4
8.1 MB
19.Wrong Input - ValueError – Error When Checking Input.mp4
MP4
13.2 MB
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307.2 B
20.Correct Text Preparation for Machine Translation.mp4
MP4
10.4 MB
21.Handling Invalid Input Shape Error.mp4
MP4
7.9 MB
22.Mapping Series of Vectors to a Single Vector.mp4
MP4
7 MB
23.Resolving a Bad Output from RNN While Generating a Simple Sequence.mp4
MP4
6.3 MB
24.Preparing Data Correctly for Time Series Prediction.mp4
MP4
9.7 MB
25.How to Enable Stateful RNN.mp4
MP4
7 MB
26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4
MP4
9.6 MB
27.Working with Different Lengths of Input and Output Sequences.mp4
MP4
15.6 MB
28.How to Use Stacked LSTMs.mp4
MP4
6.1 MB
29.Using CNN-LSTM for Time Series Prediction.mp4
MP4
8.5 MB
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204.8 B
30.Solving LSTM Underfitting on Time Series Problem.mp4
MP4
6 MB
31.Using LSTM for Multi-Value Prediction.mp4
MP4
5.3 MB
32.How To Do Text Classification with LSTM.mp4
MP4
11.4 MB
33.Data Preparation for Seq2Seq Learning.mp4
MP4
7.7 MB
34.LabelBinarizer Returns Vector When There Are Two Classes.mp4
MP4
8 MB
35.Handling Missing Values.mp4
MP4
12.6 MB
36.Evaluating Deep Learning Models Using Additional Metrics.mp4
MP4
8.7 MB
37.Fixing Warning Messages.mp4
MP4
10.3 MB
38.Generating Test Datasets.mp4
MP4
6.9 MB
39.Normalizing and Standardizing the Data.mp4
MP4
6.8 MB
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204.8 B
40.Preparing Text for Use with Deep Learning Models.mp4
MP4
8.2 MB
41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4
MP4
8.5 MB
42.Reshaping a 2D NumPy Array to 3D Array.mp4
MP4
4.8 MB
43.Fix load.npy Error in Python3.mp4
MP4
16.5 MB
44.Turn ND Matrix Into 1D Vector.mp4
MP4
30.1 MB
5. (Discuss.FTUForum.com) FTU Discussion Forum.url
URL
307.2 B
How you can help Team-FTU.txt
TXT
204.8 B
code_37489.zip
ZIP
2 KB

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