FreeCoursesOnline Me Packt Troubleshooting Python Deep Learning FCO Troubleshooting Models with scikit learn 36 Evaluating Deep Learning Models Using Additional Metrics mp4

FreeCoursesOnline Me Packt Troubleshooting Python Deep Learning FCO
Troubleshooting Models with scikit learn 36 Evaluating Deep Learning Models Using Additional Metrics mp4

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

/5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4	9.1 MB
/5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4	10.8 MB
/5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4	13.3 MB
/5. Troubleshooting Models with scikit-learn_/38.Generating Test Datasets.mp4	7.2 MB
/5. Troubleshooting Models with scikit-learn_/39.Normalizing and Standardizing the Data.mp4	7.2 MB
/5. Troubleshooting Models with scikit-learn_/40.Preparing Text for Use with Deep Learning Models.mp4	8.6 MB
/5. Troubleshooting Models with scikit-learn_/34.LabelBinarizer Returns Vector When There Are Two Classes.mp4	8.3 MB
/6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4	9.0 MB
/6. Solving NumPy Problems_/42.Reshaping a 2D NumPy Array to 3D Array.mp4	5.1 MB
/3. Solutions to Recurrent Neural Network Problems_/18.Building an RNN Model in Keras.mp4	8.5 MB
/6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4	17.3 MB
/6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4	31.5 MB
/2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4	9.3 MB
/3. Solutions to Recurrent Neural Network Problems_/22.Mapping Series of Vectors to a Single Vector.mp4	7.4 MB
/3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4	10.1 MB
Showing first 15 files of 51 total files