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[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp
magnet:?xt=urn:btih:5ea101c36badae3708e0f8b86787615d5a5ff1ba&dn=[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp
磁力链接详情
文件列表详情
5ea101c36badae3708e0f8b86787615d5a5ff1ba
infohash:
114
文件数量
6.55 GB
文件大小
2020-1-10 11:13
创建日期
2024-8-19 10:18
最后访问
相关分词
DesireCourse
Net
Udemy
-
Complete
Tensorflow
2
and
Keras
Deep
Learning
Bootcamp
1. Course Overview, Installs, and Setup/1. Course Overview.mp4 26.16 MB
1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 152.41 MB
10. Natural Language Processing/1. Introduction to NLP Section.mp4 35.12 MB
10. Natural Language Processing/2. NLP - Part One - The Data.mp4 22.29 MB
10. Natural Language Processing/3. NLP - Part Two - Text Processing.mp4 22.88 MB
10. Natural Language Processing/4. NLP - Part Three - Creating Batches.mp4 81.69 MB
10. Natural Language Processing/5. NLP - Part Four - Creating the Model.mp4 64.31 MB
10. Natural Language Processing/6. NLP - Part Five - Training the Model.mp4 65.26 MB
10. Natural Language Processing/7. NLP - Part Six - Generating Text.mp4 52.3 MB
11. AutoEncoders/1. Introduction to Autoencoders.mp4 20.88 MB
11. AutoEncoders/2. Autoencoder Basics.mp4 42.64 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 117.47 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 94.09 MB
11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.mp4 60.51 MB
11. AutoEncoders/6. Autoencoder Exercise Overview.mp4 33.92 MB
11. AutoEncoders/7. Autoencoder Exercise - Solutions.mp4 77.76 MB
12. Generative Adversarial Networks/1. GANs Overview.mp4 53.86 MB
12. Generative Adversarial Networks/2. Creating a GAN - Part One- The Data.mp4 19.12 MB
12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.mp4 69.8 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 131.58 MB
12. Generative Adversarial Networks/5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4 57.17 MB
13. Deployment/1. Introduction to Deployment.mp4 23.43 MB
13. Deployment/2. Creating the Model.mp4 87.07 MB
13. Deployment/3. Model Prediction Function.mp4 53.03 MB
13. Deployment/4. Running a Basic Flask Application.mp4 62.02 MB
13. Deployment/5. Flask Postman API.mp4 69.11 MB
13. Deployment/6. Flask API - Using Requests Programmatically.mp4 19.9 MB
13. Deployment/7. Flask Front End.mp4 149.59 MB
13. Deployment/8. Live Deployment to the Web.mp4 126.54 MB
3. NumPy Crash Course/1. Introduction to NumPy.mp4 11.38 MB
3. NumPy Crash Course/2. NumPy Arrays.mp4 88.58 MB
3. NumPy Crash Course/3. Numpy Index Selection.mp4 46.37 MB
3. NumPy Crash Course/4. NumPy Operations.mp4 48.6 MB
3. NumPy Crash Course/5. NumPy Exercises.mp4 11.51 MB
3. NumPy Crash Course/6. Numpy Exercises - Solutions.mp4 48.59 MB
4. Pandas Crash Course/1. Introduction to Pandas.mp4 25.5 MB
4. Pandas Crash Course/10. Pandas Exercises - Solutions.mp4 51.46 MB
4. Pandas Crash Course/2. Pandas Series.mp4 37.88 MB
4. Pandas Crash Course/3. Pandas DataFrames - Part One.mp4 45.17 MB
4. Pandas Crash Course/4. Pandas DataFrames - Part Two.mp4 37.01 MB
4. Pandas Crash Course/5. Pandas Missing Data.mp4 44.06 MB
4. Pandas Crash Course/6. GroupBy Operations.mp4 56.37 MB
4. Pandas Crash Course/7. Pandas Operations.mp4 61.21 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 93.48 MB
4. Pandas Crash Course/9. Pandas Exercises.mp4 23.48 MB
5. Visualization Crash Course/1. Introduction to Python Visualization.mp4 6.82 MB
5. Visualization Crash Course/2. Matplotlib Basics.mp4 41.03 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 91.85 MB
5. Visualization Crash Course/4. Data Visualization Exercises.mp4 22.82 MB
5. Visualization Crash Course/5. Data Visualization Exercises - Solutions.mp4 50.46 MB
6. Machine Learning Concepts Overview/1. What is Machine Learning.mp4 28.2 MB
6. Machine Learning Concepts Overview/2. Supervised Learning Overview.mp4 40.03 MB
6. Machine Learning Concepts Overview/3. Overfitting.mp4 26.31 MB
6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 82.69 MB
6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4 23.69 MB
6. Machine Learning Concepts Overview/6. Unsupervised Learning.mp4 18.82 MB
7. Basic Artificial Neural Networks - ANNs/1. Introduction to ANN Section.mp4 9.7 MB
7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 84.64 MB
7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.mp4 64.96 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 137.06 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/14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4 47.01 MB
7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.mp4 68.91 MB
7. Basic Artificial Neural Networks - ANNs/16. Keras Classification Code Along - EDA and Preprocessing.mp4 56.15 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 111.25 MB
7. Basic Artificial Neural Networks - ANNs/18. TensorFlow 2.0 Keras Project Options Overview.mp4 7.86 MB
7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.mp4 80.56 MB
7. Basic Artificial Neural Networks - ANNs/2. Perceptron Model.mp4 47.8 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 143.63 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 96.78 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/23. Keras Project Solutions - Categorical Data.mp4 125.03 MB
7. Basic Artificial Neural Networks - ANNs/24. Keras Project Solutions - Data PreProcessing.mp4 23.95 MB
7. Basic Artificial Neural Networks - ANNs/25. Keras Project Solutions - Creating and Training a Model.mp4 29.72 MB
7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.mp4 63.17 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 144.18 MB
7. Basic Artificial Neural Networks - ANNs/3. Neural Networks.mp4 35.79 MB
7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.mp4 62.52 MB
7. Basic Artificial Neural Networks - ANNs/5. Multi-Class Classification Considerations.mp4 45.9 MB
7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.mp4 75.67 MB
7. Basic Artificial Neural Networks - ANNs/7. Backpropagation.mp4 57.68 MB
7. Basic Artificial Neural Networks - ANNs/8. TensorFlow vs. Keras Explained.mp4 10.47 MB
7. Basic Artificial Neural Networks - ANNs/9. Keras Syntax Basics - Part One - Preparing the Data.mp4 50.5 MB
8. Convolutional Neural Networks - CNNs/1. CNN Section Overview.mp4 7.52 MB
8. Convolutional Neural Networks - CNNs/10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4 45.34 MB
8. Convolutional Neural Networks - CNNs/11. Downloading Data Set for Real Image Lectures.mp4 28.23 MB
8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.mp4 80.69 MB
8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.mp4 87.92 MB
8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.mp4 90.63 MB
8. Convolutional Neural Networks - CNNs/15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4 47.11 MB
8. Convolutional Neural Networks - CNNs/16. CNN Exercise Overview.mp4 17.88 MB
8. Convolutional Neural Networks - CNNs/17. CNN Exercise Solutions.mp4 56.02 MB
8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.mp4 72.34 MB
8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.mp4 58 MB
8. Convolutional Neural Networks - CNNs/4. Pooling Layers.mp4 27.65 MB
8. Convolutional Neural Networks - CNNs/5. MNIST Data Set Overview.mp4 21.11 MB
8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.mp4 59.82 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 98.92 MB
8. Convolutional Neural Networks - CNNs/8. CNN on MNIST - Part Three - Model Evaluation.mp4 38.48 MB
8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.mp4 64.31 MB
9. Recurrent Neural Networks - RNNs/1. RNN Section Overview.mp4 10.91 MB
9. Recurrent Neural Networks - RNNs/10. RNN on a Time Series - Part One.mp4 45.01 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 131.02 MB
9. Recurrent Neural Networks - RNNs/12. RNN Exercise.mp4 29.92 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 148.08 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 149.33 MB
9. Recurrent Neural Networks - RNNs/2. RNN Basic Theory.mp4 29.97 MB
9. Recurrent Neural Networks - RNNs/3. Vanishing Gradients.mp4 28.12 MB
9. Recurrent Neural Networks - RNNs/4. LSTMS and GRU.mp4 41.94 MB
9. Recurrent Neural Networks - RNNs/5. RNN Batches.mp4 32.72 MB
9. Recurrent Neural Networks - RNNs/6. RNN on a Sine Wave - The Data.mp4 40.13 MB
9. Recurrent Neural Networks - RNNs/7. RNN on a Sine Wave - Batch Generator.mp4 50.03 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
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