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