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种子名称： [DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning
文件类型： 视频
文件数目： 74个文件
文件大小： 4.33 GB
收录时间： 2019-6-29 04:49
已经下载： 3次
资源热度： 215
最近下载： 2024-7-29 14:54

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[DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning.torrent

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Introduction to the Course.mp49.87MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp494.25MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp450.18MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4101MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4167.82MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp482.92MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp477.09MB

10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4183.49MB

10. Convolution Neural Network (CNN) For Image Analysis/10. CNN With Keras.mp437.8MB

10. Convolution Neural Network (CNN) For Image Analysis/11. CNN on Image Data with Keras-Part 1.mp424.4MB

10. Convolution Neural Network (CNN) For Image Analysis/12. CNN on Image Data with Keras-Part 2.mp440.73MB

10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp479.45MB

10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp491.28MB

10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp448.08MB

10. Convolution Neural Network (CNN) For Image Analysis/5. Pre-Requisite For Working With Imagery Data.mp420.06MB

10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4108.91MB

10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.mp471.1MB

10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp474.39MB

10. Convolution Neural Network (CNN) For Image Analysis/9. CNN Workflow for Keras.mp436.25MB

11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp466.25MB

11. Autoencoders With Convolution Neural Networks (CNN)/2. Autoencoders for With CNN- Keras.mp441.12MB

12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp457.21MB

12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp452.35MB

12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp472.32MB

13. Miscellaneous Section/1. Use Colabs for Jupyter Data Science.mp443.92MB

2. Introduction to Python Data Science Packages/1. Python Packages for Data Science.mp436.42MB

2. Introduction to Python Data Science Packages/2. Introduction to Numpy.mp431.19MB

2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.mp463.3MB

2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4111.82MB

2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp447.83MB

2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp484.65MB

2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp453.72MB

2. Introduction to Python Data Science Packages/8. Read in Data from Excel.mp442.34MB

2. Introduction to Python Data Science Packages/9. Basic Data Cleaning.mp437.53MB

3. Introduction to TensorFlow/1. A Brief Touchdown.mp421.1MB

3. Introduction to TensorFlow/2. A Brief Touchdown Computational Graphs.mp411.25MB

3. Introduction to TensorFlow/4. A Tensorflow Session.mp428.3MB

3. Introduction to TensorFlow/5. Interactive Tensorflow Session.mp411.28MB

3. Introduction to TensorFlow/6. Constants and Variables in Tensorflow.mp425.87MB

3. Introduction to TensorFlow/7. Placeholders in Tensorflow.mp431.46MB

4. Introduction to Keras/1. What is Keras.mp423.92MB

5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4112.72MB

5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.mp462.96MB

5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp488.84MB

5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp469.98MB

5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp474.98MB

5. Some Preliminary Tensorflow and Keras Applications/3. Visualize the Results of OLS.mp426.53MB

5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp446.44MB

5. Some Preliminary Tensorflow and Keras Applications/5. Estimate With Tensorflow Estimators.mp411.55MB

5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp458.76MB

5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp498.57MB

5. Some Preliminary Tensorflow and Keras Applications/8. GLM Generalized Linear Model.mp445.97MB

5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4107.26MB

6. Some Basic Concepts/1. What is Machine Learning.mp491.35MB

6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4107.02MB

7. Unsupervised Learning With Tensorflow and Keras/1. What is Unsupervised Learning.mp430.6MB

7. Unsupervised Learning With Tensorflow and Keras/2. Autoencoders for Unsupervised Classification.mp421.16MB

7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).mp470.56MB

7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp456.49MB

7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp453.18MB

7. Unsupervised Learning With Tensorflow and Keras/6. Autoencoders in Keras (Sparsity Constraints).mp437.71MB

7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp468.09MB

8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp461.32MB

8. Neural Network for Tensorflow & Keras/2. Multi Layer Perceptron (MLP) With Keras.mp432.19MB

8. Neural Network for Tensorflow & Keras/3. Keras MLP For Binary Classification.mp436.73MB

8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp450.62MB

8. Neural Network for Tensorflow & Keras/5. Keras MLP for Regression.mp430.36MB

9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp499.53MB

9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp462.68MB

9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp483.75MB

9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp451.18MB

9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4122.9MB

9. Deep Learning For Tensorflow & Keras/6. DNN Classifier With Keras.mp430MB

9. Deep Learning For Tensorflow & Keras/7. DNN Classifier With Keras-Example 2.mp442.43MB