Name [FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

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Size 487.39MB

UpdateDate 2024-6-27

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Files 0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url | 328B 0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286B 0. Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url | 163B 0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url | 239B 0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url | 294B 0. Websites you may like/How you can help Team-FTU.txt | 237B 1. Solutions to Convolutional Neural Network Problems – Part One_/01.The Course Overview.mp4 | 37.64MB 1. Solutions to Convolutional Neural Network Problems – Part One_/02.Concatenate Two CNNs Correctly.mp4 | 73.99MB 1. Solutions to Convolutional Neural Network Problems – Part One_/03.Splitting Trained Model.mp4 | 13.19MB 1. Solutions to Convolutional Neural Network Problems – Part One_/04.Resolving fit_generator Errors.mp4 | 7.63MB 1. Solutions to Convolutional Neural Network Problems – Part One_/05.Model Object Has No Attribute load_model Keras.mp4 | 3.19MB 1. Solutions to Convolutional Neural Network Problems – Part One_/06.High val_acc, But Low Accuracy in Practice.mp4 | 11.03MB 1. Solutions to Convolutional Neural Network Problems – Part One_/07.Error in Adding a Dense Layer.mp4 | 4.83MB 1. Solutions to Convolutional Neural Network Problems – Part One_/08.Model with Multiple Outputs Errors.mp4 | 3.86MB 1. Solutions to Convolutional Neural Network Problems – Part One_/09.Model That Uses Dropout Is Still Overfitting.mp4 | 8.09MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/10.When the Value Error Input 0 Is Incompatible with Layer conv2d_1.mp4 | 6.42MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/11.Interpreting kernel_size Notation in CNNs.mp4 | 9.92MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/12.Choosing Last Layer’s Activation Function in CNN.mp4 | 7.53MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4 | 8.82MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/14.Error When Using CNN to Classify Text.mp4 | 8.30MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/15.Kernel Weight Initialization in CNN Model.mp4 | 5.36MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/16.Common Problems When Using Pre-Trained CNN Models.mp4 | 7.60MB 2. Solutions to Convolutional Neural Network Problems – Part Two_/17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4 | 8.68MB 3. Solutions to Recurrent Neural Network Problems_/18.Building an RNN Model in Keras.mp4 | 8.12MB 3. Solutions to Recurrent Neural Network Problems_/19.Wrong Input - ValueError – Error When Checking Input.mp4 | 13.17MB 3. Solutions to Recurrent Neural Network Problems_/20.Correct Text Preparation for Machine Translation.mp4 | 10.45MB 3. Solutions to Recurrent Neural Network Problems_/21.Handling Invalid Input Shape Error.mp4 | 7.89MB 3. Solutions to Recurrent Neural Network Problems_/22.Mapping Series of Vectors to a Single Vector.mp4 | 7.01MB 3. Solutions to Recurrent Neural Network Problems_/23.Resolving a Bad Output from RNN While Generating a Simple Sequence.mp4 | 6.26MB 3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4 | 9.66MB 3. Solutions to Recurrent Neural Network Problems_/25.How to Enable Stateful RNN.mp4 | 6.99MB 4.Solutions to LSTM Recurrent Neural Networks Problems/26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4 | 9.61MB 4.Solutions to LSTM Recurrent Neural Networks Problems/27.Working with Different Lengths of Input and Output Sequences.mp4 | 15.61MB 4.Solutions to LSTM Recurrent Neural Networks Problems/28.How to Use Stacked LSTMs.mp4 | 6.13MB 4.Solutions to LSTM Recurrent Neural Networks Problems/29.Using CNN-LSTM for Time Series Prediction.mp4 | 8.48MB 4.Solutions to LSTM Recurrent Neural Networks Problems/30.Solving LSTM Underfitting on Time Series Problem.mp4 | 6.03MB 4.Solutions to LSTM Recurrent Neural Networks Problems/31.Using LSTM for Multi-Value Prediction.mp4 | 5.29MB 4.Solutions to LSTM Recurrent Neural Networks Problems/32.How To Do Text Classification with LSTM.mp4 | 11.39MB 4.Solutions to LSTM Recurrent Neural Networks Problems/33.Data Preparation for Seq2Seq Learning.mp4 | 7.70MB 5. Troubleshooting Models with scikit-learn_/34.LabelBinarizer Returns Vector When There Are Two Classes.mp4 | 7.95MB 5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4 | 12.64MB 5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4 | 8.70MB 5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4 | 10.30MB 5. Troubleshooting Models with scikit-learn_/38.Generating Test Datasets.mp4 | 6.90MB 5. Troubleshooting Models with scikit-learn_/39.Normalizing and Standardizing the Data.mp4 | 6.84MB 5. Troubleshooting Models with scikit-learn_/40.Preparing Text for Use with Deep Learning Models.mp4 | 8.18MB 6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4 | 8.55MB 6. Solving NumPy Problems_/42.Reshaping a 2D NumPy Array to 3D Array.mp4 | 4.84MB 6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4 | 16.54MB 6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4 | 30.07MB Exercise Files/code_37489.zip | 1.98KB