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

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文件数目：214个文件
文件大小：5.65 GB
收录时间：2019-06-28
访问次数：6
相关内容：DesireCourse Udemy Tensorflow Keras Neural Networks Deep Learning

文件meta

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip
532.36 MB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4
183.49 MB
10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json
181.82 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4
167.82 MB
7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv
143.85 MB
7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv
143.85 MB
5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv
143.84 MB
9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv
143.84 MB
9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4
122.9 MB
5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4
112.72 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4
111.82 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4
108.91 MB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4
107.26 MB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4
107.02 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4
101 MB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4
99.53 MB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4
98.57 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4
94.25 MB
6. Some Basic Concepts/1. What is Machine Learning.mp4
91.35 MB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4
91.28 MB
5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp4
88.84 MB
2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp4
84.65 MB
9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp4
83.75 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp4
82.92 MB
10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp4
79.45 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp4
77.09 MB
5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp4
74.98 MB
10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp4
74.39 MB
12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp4
72.32 MB
10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.mp4
71.1 MB
7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).mp4
70.56 MB
5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp4
69.98 MB
7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp4
68.09 MB
11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp4
66.25 MB
2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.mp4
63.3 MB
5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.mp4
62.96 MB
9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp4
62.68 MB
8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp4
61.32 MB
5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp4
58.76 MB
12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp4
57.21 MB
7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp4
56.49 MB
2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp4
53.72 MB
7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp4
53.18 MB
12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp4
52.35 MB
9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp4
51.18 MB
8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp4
50.62 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4
50.18 MB
10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp4
48.08 MB
2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp4
47.83 MB
5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp4
46.44 MB