[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

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文件数目：240个文件
文件大小：6.74 GB
收录时间：2020-01-21
访问次数：10
相关内容：DesireCourse Udemy Complete Tensorflow Keras Deep Learning Bootcamp

文件meta

1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4
152.41 MB
13. Deployment/7. Flask Front End.mp4
149.59 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4
149.33 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4
148.08 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4
144.18 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4
143.63 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4
137.06 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4
131.58 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4
131.02 MB
13. Deployment/8. Live Deployment to the Web.mp4
126.54 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4
125.03 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4
117.47 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4
111.25 MB
1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip
99.27 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip
99.27 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4
98.92 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4
96.78 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4
94.09 MB
4. Pandas Crash Course/8. Data Input and Output.mp4
93.48 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4
91.85 MB
8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.mp4
90.63 MB
3. NumPy Crash Course/2. NumPy Arrays.mp4
88.58 MB
8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.mp4
87.92 MB
13. Deployment/2. Creating the Model.mp4
87.07 MB
7. Basic Artificial Neural Networks - ANNs/22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
85.4 MB
7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4
84.64 MB
9. Recurrent Neural Networks - RNNs/8. RNN on a Sine Wave - Creating the Model.mp4
83.8 MB
9. Recurrent Neural Networks - RNNs/9. RNN on a Sine Wave - LSTMs and Forecasting.mp4
83.49 MB
6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4
82.69 MB
10. Natural Language Processing/4. NLP - Part Three - Creating Batches.mp4
81.69 MB
8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.mp4
80.69 MB
7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.mp4
80.56 MB
11. AutoEncoders/7. Autoencoder Exercise - Solutions.mp4
77.76 MB
7. Basic Artificial Neural Networks - ANNs/13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4
76.18 MB
7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.mp4
75.67 MB
8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.mp4
72.34 MB
12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.mp4
69.8 MB
13. Deployment/5. Flask Postman API.mp4
69.11 MB
7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.mp4
68.91 MB
10. Natural Language Processing/6. NLP - Part Five - Training the Model.mp4
65.26 MB
7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.mp4
64.96 MB
10. Natural Language Processing/5. NLP - Part Four - Creating the Model.mp4
64.31 MB
8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.mp4
64.31 MB
7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.mp4
63.17 MB
7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.mp4
62.52 MB
13. Deployment/4. Running a Basic Flask Application.mp4
62.02 MB
4. Pandas Crash Course/7. Pandas Operations.mp4
61.21 MB
11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.mp4
60.51 MB
8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.mp4
59.82 MB
8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.mp4
58 MB