Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]

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Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]

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Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]
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1. A Brief Touchdown.mp4
MP4
21.1 MB
1. A Brief Touchdown.vtt
VTT
1.7 KB
1. Autoencoders for With CNN- Tensorflow.mp4
MP4
66.3 MB
1. Autoencoders for With CNN- Tensorflow.vtt
VTT
6.3 KB
1. Introduction to CNN.mp4
MP4
183.5 MB
1. Introduction to CNN.vtt
VTT
12.8 KB
1. Introduction to the Course.mp4
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9.9 MB
1. Introduction to the Course.vtt
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3.1 KB
1. Multi Layer Perceptron (MLP) with Tensorflow.mp4
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61.3 MB
1. Multi Layer Perceptron (MLP) with Tensorflow.vtt
VTT
5.6 KB
1. Python Packages for Data Science.mp4
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36.4 MB
1. Python Packages for Data Science.vtt
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4 KB
1. Theory Behind RNNs.mp4
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57.2 MB
1. Theory Behind RNNs.vtt
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5.3 KB
1. Theory of Linear Regression (OLS).mp4
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112.7 MB
1. Theory of Linear Regression (OLS).vtt
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10.6 KB
1. Use Colabs for Jupyter Data Science.mp4
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43.9 MB
1. Use Colabs for Jupyter Data Science.vtt
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6.5 KB
1. What is Artificial Intelligence.mp4
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99.5 MB
1. What is Artificial Intelligence.vtt
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9.1 KB
1. What is Keras.mp4
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23.9 MB
1. What is Keras.vtt
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3.6 KB
1. What is Machine Learning.mp4
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91.3 MB
1. What is Machine Learning.vtt
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6.7 KB
1. What is Unsupervised Learning.mp4
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30.6 MB
1. What is Unsupervised Learning.vtt
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1.9 KB
1.1 Lecture 49_mlp_mnist.txt.txt
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2.7 KB
1.1 colab.txt.txt
TXT
102.4 B
10. Accuracy Assessment For Binary Classification.mp4
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63 MB
10. Accuracy Assessment For Binary Classification.vtt
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4.9 KB
10. CNN With Keras.mp4
MP4
37.8 MB
10. CNN With Keras.vtt
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4 KB
10. Written Keras Installation Instructions.html
HTML
1.7 KB
10.1 cnn_keras.txt.txt
TXT
1.9 KB
11. CNN on Image Data with Keras-Part 1.mp4
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24.4 MB
11. CNN on Image Data with Keras-Part 1.vtt
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2.4 KB
11. Linear Classification with Binary Classification With Mixed Predictors.mp4
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88.8 MB
11. Linear Classification with Binary Classification With Mixed Predictors.vtt
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7.1 KB
11.1 titanic.csv.csv
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59.8 KB
11.2 Lecture 38_Linear classifier_mixed pred.txt.txt
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2.8 KB
12. CNN on Image Data with Keras-Part 2.mp4
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40.7 MB
12. CNN on Image Data with Keras-Part 2.vtt
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4.9 KB
12. Softmax Classification With Tensorflow.mp4
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70 MB
12. Softmax Classification With Tensorflow.vtt
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6.2 KB
12.1 planesnet.json.json
JSON
181.8 MB
12.2 cnn_keras-planets.txt.txt
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3.1 KB
2. A Brief Touchdown Computational Graphs.mp4
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11.3 MB
2. A Brief Touchdown Computational Graphs.vtt
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2.1 KB
2. Autoencoders for Unsupervised Classification.mp4
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21.2 MB
2. Autoencoders for Unsupervised Classification.vtt
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1.9 KB
2. Autoencoders for With CNN- Keras.mp4
MP4
41.1 MB
2. Autoencoders for With CNN- Keras.vtt
VTT
4.6 KB
2. Data and Scripts For the Course.html
HTML
204.8 B
2. Deep Neural Network (DNN) Classifier With Tensorflow.mp4
MP4
62.7 MB
2. Deep Neural Network (DNN) Classifier With Tensorflow.vtt
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6 KB
2. Implement a CNN for Multi-Class Supervised Classification.mp4
MP4
79.5 MB
2. Implement a CNN for Multi-Class Supervised Classification.vtt
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6.7 KB
2. Introduction to Numpy.mp4
MP4
31.2 MB
2. Introduction to Numpy.vtt
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4 KB
2. LSTM For Time Series Data.mp4
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52.3 MB
2. LSTM For Time Series Data.vtt
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6.2 KB
2. Multi Layer Perceptron (MLP) With Keras.mp4
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32.2 MB
2. Multi Layer Perceptron (MLP) With Keras.vtt
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3.6 KB
2. OLS From First Principles.mp4
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75 MB
2. OLS From First Principles.vtt
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8.6 KB
2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4
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107 MB
2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).vtt
VTT
10.2 KB
2.1 Data.zip.zip
ZIP
532.4 MB
2.1 Iris.csv.csv
CSV
5 KB
2.1 Lecture 29_ols reg.txt.txt
TXT
2.8 KB
2.1 international-airline-passengers.csv.csv
CSV
2.3 KB
2.1 keras auto.txt.txt
TXT
2.1 KB
2.1 lect 50_keras-mlp1.txt.txt
TXT
1.5 KB
2.2 Lecture 54_dnnclass.txt.txt
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1.2 KB
3. Activation Functions.mp4
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91.3 MB
3. Activation Functions.vtt
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6.3 KB
3. Autoencoders in Tensorflow (Binary Class Problem).mp4
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70.6 MB
3. Autoencoders in Tensorflow (Binary Class Problem).vtt
VTT
6.4 KB
3. Common Mathematical Operators in Tensorflow.html
HTML
512 B
3. Create Numpy Arrays.mp4
MP4
63.3 MB
3. Create Numpy Arrays.vtt
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6.1 KB
3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp4
MP4
83.8 MB
3. Deep Neural Network (DNN) Classifier With Mixed Predictors.vtt
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6.7 KB
3. Keras MLP For Binary Classification.mp4
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36.7 MB
3. Keras MLP For Binary Classification.vtt
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3.7 KB
3. LSTM for Predicting Stock Prices.mp4
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72.3 MB
3. LSTM for Predicting Stock Prices.vtt
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7.6 KB
3. Python Data Science Environment.mp4
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94.2 MB
3. Python Data Science Environment.vtt
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10.9 KB
3. Visualize the Results of OLS.mp4
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26.5 MB
3. Visualize the Results of OLS.vtt
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3.1 KB
3.1 Lecture 30_Viz.txt.txt
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1 KB
3.1 all_stocks_5yr.csv.csv
CSV
28.2 MB
3.1 creditcard.csv.csv
CSV
143.9 MB
3.1 lect 50_keras mlp-binary.txt.txt
TXT
1.4 KB
3.1 numpy create.txt.txt
TXT
512 B
3.1 titanic.csv.csv
CSV
59.8 KB
3.2 Lecture 44_autoencoder_binary.txt.txt
TXT
2.9 KB
3.2 Lecture 55_dnnclass_titanic.txt.txt
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3.3 KB
3.2 lstm_stock.txt.txt
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2 KB
3.2 sonar.csv.csv
CSV
85.7 KB
4. A Tensorflow Session.mp4
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28.3 MB
4. A Tensorflow Session.vtt
VTT
3.9 KB
4. Autoencoders in Tensorflow (Multiple Classes).mp4
MP4
56.5 MB
4. Autoencoders in Tensorflow (Multiple Classes).vtt
VTT
5.3 KB
4. Deep Neural Network (DNN) Regression With Tensorflow.mp4
MP4
51.2 MB
4. Deep Neural Network (DNN) Regression With Tensorflow.vtt
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4.6 KB
4. For Mac Users.mp4
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50.2 MB
4. For Mac Users.vtt
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4.1 KB
4. Keras MLP for Multiclass Classification.mp4
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50.6 MB
4. Keras MLP for Multiclass Classification.vtt
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4.9 KB
4. More on CNN.mp4
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48.1 MB
4. More on CNN.vtt
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4.1 KB
4. Multiple Regression With Tensorflow-Part 1.mp4
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46.4 MB
4. Multiple Regression With Tensorflow-Part 1.vtt
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3.9 KB
4. Numpy Operations.mp4
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111.8 MB
4. Numpy Operations.vtt
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15.6 KB
4.1 Lecture 17_tf session.txt.txt
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512 B
4.1 Lecture 31_ML Reg.txt.txt
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2.2 KB
4.1 Lecture 56_dnnreg.txt.txt
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1.1 KB
4.1 lect 51_keras mlp-mc.txt.txt
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1.4 KB
4.1 numpy op.txt.txt
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1.4 KB
4.2 iris1.csv.csv
CSV
4.4 KB
5. Autoencoders in Keras (Simple).mp4
MP4
53.2 MB
5. Autoencoders in Keras (Simple).vtt
VTT
5.2 KB
5. Estimate With Tensorflow Estimators.mp4
MP4
11.5 MB
5. Estimate With Tensorflow Estimators.vtt
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2.8 KB
5. Interactive Tensorflow Session.mp4
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11.3 MB
5. Interactive Tensorflow Session.vtt
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1.5 KB
5. Introduction to IPython.mp4
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101 MB
5. Introduction to IPython.vtt
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18.3 KB
5. Keras MLP for Regression.mp4
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30.4 MB
5. Keras MLP for Regression.vtt
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3.1 KB
5. Numpy for Statistical Operation.mp4
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47.8 MB
5. Numpy for Statistical Operation.vtt
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6.9 KB
5. Pre-Requisite For Working With Imagery Data.mp4
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20.1 MB
5. Pre-Requisite For Working With Imagery Data.vtt
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2.4 KB
5. Wide & Deep Learning (Tensorflow).mp4
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122.9 MB
5. Wide & Deep Learning (Tensorflow).vtt
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9.6 KB
5.1 Lecture 18_interactive session.txt.txt
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307.2 B
5.1 Lecture 47_keras_autoencoder.txt.txt
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2.4 KB
5.1 Lecture 57_dnn_wide-deep.txt.txt
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6.9 KB
5.1 Lecture 64_cnn image.txt.txt
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102.4 B
5.1 housing.csv.csv
CSV
47.9 KB
5.1 numpy stats.txt.txt
TXT
512 B
5.2 lect 52_keras-regression.txt.txt
TXT
1.2 KB
6. Autoencoders in Keras (Sparsity Constraints).mp4
MP4
37.7 MB
6. Autoencoders in Keras (Sparsity Constraints).vtt
VTT
4 KB
6. CNN on Image Data-Part 1.mp4
MP4
108.9 MB
6. CNN on Image Data-Part 1.vtt
VTT
9.5 KB
6. Constants and Variables in Tensorflow.mp4
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25.9 MB
6. Constants and Variables in Tensorflow.vtt
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3.9 KB
6. DNN Classifier With Keras.mp4
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30 MB
6. DNN Classifier With Keras.vtt
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3 KB
6. Install Tensorflow.mp4
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167.8 MB
6. Install Tensorflow.vtt
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14.9 KB
6. Introduction to Pandas.mp4
MP4
84.7 MB
6. Introduction to Pandas.vtt
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10.5 KB
6. Multiple Regression With Tensorflow Estimators.mp4
MP4
58.8 MB
6. Multiple Regression With Tensorflow Estimators.vtt
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4.8 KB
6.1 Lecture 19_constant var.txt.txt
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716.8 B
6.1 Lecture 48_keras_auto-regu.txt.txt
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2.2 KB
6.1 Lecture 65_cnn_cat dog.txt.txt
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3 KB
6.1 pima-indians-diabetes.csv.csv
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22.7 KB
6.2 lect 58_dnn-keras.txt.txt
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921.6 B
7. CNN on Image Data-Part 2.mp4
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71.1 MB
7. CNN on Image Data-Part 2.vtt
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6.2 KB
7. DNN Classifier With Keras-Example 2.mp4
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42.4 MB
7. DNN Classifier With Keras-Example 2.vtt
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3.9 KB
7. Deep Autoencoder With Keras.mp4
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68.1 MB
7. Deep Autoencoder With Keras.vtt
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7.9 KB
7. More on Linear Regressor Estimator.mp4
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98.6 MB
7. More on Linear Regressor Estimator.vtt
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7. Placeholders in Tensorflow.mp4
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31.5 MB
7. Placeholders in Tensorflow.vtt
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7. Read in Data from CSV.mp4
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53.7 MB
7. Read in Data from CSV.vtt
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6 KB
7. Written Tensorflow Installation Instructions.html
HTML
204.8 B
7.1 Lecture 26_place.txt.txt
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716.8 B
7.1 Lecture 34_linear regressor_csv data.txt.txt
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3.5 KB
7.1 NIKEAD.zip.zip
ZIP
10.2 MB
7.1 bostonTxt.txt.txt
TXT
17.2 KB
7.1 creditcard.csv.csv
CSV
143.9 MB
7.1 lect 59_dnn_keras-2.txt.txt
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7.2 Lecture 49_deep auto.txt.txt
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3.2 KB
7.2 creditcard.csv.csv
CSV
143.8 MB
7.2 listings.csv.csv
CSV
14.1 MB
7.2 read csv_pd.txt.txt
TXT
512 B
7.2 tflearn_shoes.txt.txt
TXT
4.5 KB
7.3 winequality-red.csv.csv
CSV
82.2 KB
7.4 Resp2.csv.csv
CSV
307.2 B
8. GLM Generalized Linear Model.mp4
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46 MB
8. GLM Generalized Linear Model.vtt
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5.4 KB
8. Install Keras on Windows 10.mp4
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82.9 MB
8. Install Keras on Windows 10.vtt
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4.5 KB
8. More on TFLearn.mp4
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74.4 MB
8. More on TFLearn.vtt
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7.9 KB
8. Read in Data from Excel.mp4
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42.3 MB
8. Read in Data from Excel.vtt
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3.8 KB
8.1 Lecture 66_cnn_planet.txt.txt
TXT
2.7 KB
8.1 boston1.xls.xls
XLS
73.5 KB
8.2 read excel_pd.txt.txt
TXT
307.2 B
9. Basic Data Cleaning.mp4
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37.5 MB
9. Basic Data Cleaning.vtt
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4.1 KB
9. CNN Workflow for Keras.mp4
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36.2 MB
9. CNN Workflow for Keras.vtt
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4.3 KB
9. Install Keras on Mac.mp4
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77.1 MB
9. Install Keras on Mac.vtt
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3.3 KB
9. Linear Classifier For Binary Classification.mp4
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107.3 MB
9. Linear Classifier For Binary Classification.vtt
VTT
6.2 KB
9.1 creditcard.csv.csv
CSV
143.8 MB
9.2 Lecture 36_linear classifier python.txt.txt
TXT
3 KB
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