FreeCoursesOnline Me Packt Troubleshooting Python Deep Learning FCO

FreeCoursesOnline Me Packt Troubleshooting Python Deep Learning FCO

Name	[FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]	DOWNLOAD Copy Link
Total Size	511.1 MB
Total Files	51
Hash	7A926261C20A3A094BF62859A65C8F5F4718819A

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/1. Solutions to Convolutional Neural Network Problems – Part One_/
01.The Course Overview.mp4	39.5 MB
02.Concatenate Two CNNs Correctly.mp4	77.6 MB
03.Splitting Trained Model.mp4	13.8 MB
04.Resolving fit_generator Errors.mp4	8.0 MB
05.Model Object Has No Attribute load_model Keras.mp4	3.3 MB
06.High val_acc, But Low Accuracy in Practice.mp4	11.6 MB
07.Error in Adding a Dense Layer.mp4	5.1 MB
08.Model with Multiple Outputs Errors.mp4	4.0 MB
09.Model That Uses Dropout Is Still Overfitting.mp4	8.5 MB
/2. Solutions to Convolutional Neural Network Problems – Part Two_/
10.When the Value Error Input 0 Is Incompatible with Layer conv2d_1.mp4	6.7 MB
11.Interpreting kernel_size Notation in CNNs.mp4	10.4 MB
12.Choosing Last Layer’s Activation Function in CNN.mp4	7.9 MB
13.Using Validation Accuracy.mp4	9.3 MB
14.Error When Using CNN to Classify Text.mp4	8.7 MB
15.Kernel Weight Initialization in CNN Model.mp4	5.6 MB
16.Common Problems When Using Pre-Trained CNN Models.mp4	8.0 MB
17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4	9.1 MB
/3. Solutions to Recurrent Neural Network Problems_/
18.Building an RNN Model in Keras.mp4	8.5 MB
19.Wrong Input - ValueError – Error When Checking Input.mp4	13.8 MB
20.Correct Text Preparation for Machine Translation.mp4	11.0 MB
21.Handling Invalid Input Shape Error.mp4	8.3 MB
22.Mapping Series of Vectors to a Single Vector.mp4	7.4 MB
23.Resolving a Bad Output from RNN While Generating a Simple Sequence.mp4	6.6 MB
24.Preparing Data Correctly for Time Series Prediction.mp4	10.1 MB
25.How to Enable Stateful RNN.mp4	7.3 MB
/4.Solutions to LSTM Recurrent Neural Networks Problems/
26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4	10.1 MB
27.Working with Different Lengths of Input and Output Sequences.mp4	16.4 MB
28.How to Use Stacked LSTMs.mp4	6.4 MB
29.Using CNN-LSTM for Time Series Prediction.mp4	8.9 MB
30.Solving LSTM Underfitting on Time Series Problem.mp4	6.3 MB
31.Using LSTM for Multi-Value Prediction.mp4	5.5 MB
32.How To Do Text Classification with LSTM.mp4	11.9 MB
33.Data Preparation for Seq2Seq Learning.mp4	8.1 MB
/5. Troubleshooting Models with scikit-learn_/
34.LabelBinarizer Returns Vector When There Are Two Classes.mp4	8.3 MB
35.Handling Missing Values.mp4	13.3 MB
36.Evaluating Deep Learning Models Using Additional Metrics.mp4	9.1 MB
37.Fixing Warning Messages.mp4	10.8 MB
38.Generating Test Datasets.mp4	7.2 MB
39.Normalizing and Standardizing the Data.mp4	7.2 MB
40.Preparing Text for Use with Deep Learning Models.mp4	8.6 MB
/6. Solving NumPy Problems_/
41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4	9.0 MB
42.Reshaping a 2D NumPy Array to 3D Array.mp4	5.1 MB
43.Fix load.npy Error in Python3.mp4	17.3 MB
44.Turn ND Matrix Into 1D Vector.mp4	31.5 MB
/Exercise Files/
code_37489.zip	2.0 KB
Total files 51