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[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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2020-1-10 11:13
2024-8-20 06:24
156
6.55 GB
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DesireCourse
Net
Udemy
-
Complete
Tensorflow
2
and
Keras
Deep
Learning
Bootcamp
文件列表
1. Course Overview, Installs, and Setup/1. Course Overview.mp4
26.16MB
1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4
152.41MB
10. Natural Language Processing/1. Introduction to NLP Section.mp4
35.12MB
10. Natural Language Processing/2. NLP - Part One - The Data.mp4
22.29MB
10. Natural Language Processing/3. NLP - Part Two - Text Processing.mp4
22.88MB
10. Natural Language Processing/4. NLP - Part Three - Creating Batches.mp4
81.69MB
10. Natural Language Processing/5. NLP - Part Four - Creating the Model.mp4
64.31MB
10. Natural Language Processing/6. NLP - Part Five - Training the Model.mp4
65.26MB
10. Natural Language Processing/7. NLP - Part Six - Generating Text.mp4
52.3MB
11. AutoEncoders/1. Introduction to Autoencoders.mp4
20.88MB
11. AutoEncoders/2. Autoencoder Basics.mp4
42.64MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4
117.47MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4
94.09MB
11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.mp4
60.51MB
11. AutoEncoders/6. Autoencoder Exercise Overview.mp4
33.92MB
11. AutoEncoders/7. Autoencoder Exercise - Solutions.mp4
77.76MB
12. Generative Adversarial Networks/1. GANs Overview.mp4
53.86MB
12. Generative Adversarial Networks/2. Creating a GAN - Part One- The Data.mp4
19.12MB
12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.mp4
69.8MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4
131.58MB
12. Generative Adversarial Networks/5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4
57.17MB
13. Deployment/1. Introduction to Deployment.mp4
23.43MB
13. Deployment/2. Creating the Model.mp4
87.07MB
13. Deployment/3. Model Prediction Function.mp4
53.03MB
13. Deployment/4. Running a Basic Flask Application.mp4
62.02MB
13. Deployment/5. Flask Postman API.mp4
69.11MB
13. Deployment/6. Flask API - Using Requests Programmatically.mp4
19.9MB
13. Deployment/7. Flask Front End.mp4
149.59MB
13. Deployment/8. Live Deployment to the Web.mp4
126.54MB
3. NumPy Crash Course/1. Introduction to NumPy.mp4
11.38MB
3. NumPy Crash Course/2. NumPy Arrays.mp4
88.58MB
3. NumPy Crash Course/3. Numpy Index Selection.mp4
46.37MB
3. NumPy Crash Course/4. NumPy Operations.mp4
48.6MB
3. NumPy Crash Course/5. NumPy Exercises.mp4
11.51MB
3. NumPy Crash Course/6. Numpy Exercises - Solutions.mp4
48.59MB
4. Pandas Crash Course/1. Introduction to Pandas.mp4
25.5MB
4. Pandas Crash Course/10. Pandas Exercises - Solutions.mp4
51.46MB
4. Pandas Crash Course/2. Pandas Series.mp4
37.88MB
4. Pandas Crash Course/3. Pandas DataFrames - Part One.mp4
45.17MB
4. Pandas Crash Course/4. Pandas DataFrames - Part Two.mp4
37.01MB
4. Pandas Crash Course/5. Pandas Missing Data.mp4
44.06MB
4. Pandas Crash Course/6. GroupBy Operations.mp4
56.37MB
4. Pandas Crash Course/7. Pandas Operations.mp4
61.21MB
4. Pandas Crash Course/8. Data Input and Output.mp4
93.48MB
4. Pandas Crash Course/9. Pandas Exercises.mp4
23.48MB
5. Visualization Crash Course/1. Introduction to Python Visualization.mp4
6.82MB
5. Visualization Crash Course/2. Matplotlib Basics.mp4
41.03MB
5. Visualization Crash Course/3. Seaborn Basics.mp4
91.85MB
5. Visualization Crash Course/4. Data Visualization Exercises.mp4
22.82MB
5. Visualization Crash Course/5. Data Visualization Exercises - Solutions.mp4
50.46MB
6. Machine Learning Concepts Overview/1. What is Machine Learning.mp4
28.2MB
6. Machine Learning Concepts Overview/2. Supervised Learning Overview.mp4
40.03MB
6. Machine Learning Concepts Overview/3. Overfitting.mp4
26.31MB
6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4
82.69MB
6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4
23.69MB
6. Machine Learning Concepts Overview/6. Unsupervised Learning.mp4
18.82MB
7. Basic Artificial Neural Networks - ANNs/1. Introduction to ANN Section.mp4
9.7MB
7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4
84.64MB
7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.mp4
64.96MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4
137.06MB
7. Basic Artificial Neural Networks - ANNs/13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4
76.18MB
7. Basic Artificial Neural Networks - ANNs/14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4
47.01MB
7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.mp4
68.91MB
7. Basic Artificial Neural Networks - ANNs/16. Keras Classification Code Along - EDA and Preprocessing.mp4
56.15MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4
111.25MB
7. Basic Artificial Neural Networks - ANNs/18. TensorFlow 2.0 Keras Project Options Overview.mp4
7.86MB
7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.mp4
80.56MB
7. Basic Artificial Neural Networks - ANNs/2. Perceptron Model.mp4
47.8MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4
143.63MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4
96.78MB
7. Basic Artificial Neural Networks - ANNs/22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
85.4MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4
125.03MB
7. Basic Artificial Neural Networks - ANNs/24. Keras Project Solutions - Data PreProcessing.mp4
23.95MB
7. Basic Artificial Neural Networks - ANNs/25. Keras Project Solutions - Creating and Training a Model.mp4
29.72MB
7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.mp4
63.17MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4
144.18MB
7. Basic Artificial Neural Networks - ANNs/3. Neural Networks.mp4
35.79MB
7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.mp4
62.52MB
7. Basic Artificial Neural Networks - ANNs/5. Multi-Class Classification Considerations.mp4
45.9MB
7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.mp4
75.67MB
7. Basic Artificial Neural Networks - ANNs/7. Backpropagation.mp4
57.68MB
7. Basic Artificial Neural Networks - ANNs/8. TensorFlow vs. Keras Explained.mp4
10.47MB
7. Basic Artificial Neural Networks - ANNs/9. Keras Syntax Basics - Part One - Preparing the Data.mp4
50.5MB
8. Convolutional Neural Networks - CNNs/1. CNN Section Overview.mp4
7.52MB
8. Convolutional Neural Networks - CNNs/10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4
45.34MB
8. Convolutional Neural Networks - CNNs/11. Downloading Data Set for Real Image Lectures.mp4
28.23MB
8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.mp4
80.69MB
8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.mp4
87.92MB
8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.mp4
90.63MB
8. Convolutional Neural Networks - CNNs/15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4
47.11MB
8. Convolutional Neural Networks - CNNs/16. CNN Exercise Overview.mp4
17.88MB
8. Convolutional Neural Networks - CNNs/17. CNN Exercise Solutions.mp4
56.02MB
8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.mp4
72.34MB
8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.mp4
58MB
8. Convolutional Neural Networks - CNNs/4. Pooling Layers.mp4
27.65MB
8. Convolutional Neural Networks - CNNs/5. MNIST Data Set Overview.mp4
21.11MB
8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.mp4
59.82MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4
98.92MB
8. Convolutional Neural Networks - CNNs/8. CNN on MNIST - Part Three - Model Evaluation.mp4
38.48MB
8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.mp4
64.31MB
9. Recurrent Neural Networks - RNNs/1. RNN Section Overview.mp4
10.91MB
9. Recurrent Neural Networks - RNNs/10. RNN on a Time Series - Part One.mp4
45.01MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4
131.02MB
9. Recurrent Neural Networks - RNNs/12. RNN Exercise.mp4
29.92MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4
148.08MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4
149.33MB
9. Recurrent Neural Networks - RNNs/2. RNN Basic Theory.mp4
29.97MB
9. Recurrent Neural Networks - RNNs/3. Vanishing Gradients.mp4
28.12MB
9. Recurrent Neural Networks - RNNs/4. LSTMS and GRU.mp4
41.94MB
9. Recurrent Neural Networks - RNNs/5. RNN Batches.mp4
32.72MB
9. Recurrent Neural Networks - RNNs/6. RNN on a Sine Wave - The Data.mp4
40.13MB
9. Recurrent Neural Networks - RNNs/7. RNN on a Sine Wave - Batch Generator.mp4
50.03MB
9. Recurrent Neural Networks - RNNs/8. RNN on a Sine Wave - Creating the Model.mp4
83.8MB
9. Recurrent Neural Networks - RNNs/9. RNN on a Sine Wave - LSTMs and Forecasting.mp4
83.49MB
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