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

Creation Time	Aug. 9, 2023, 5:47 a.m.
Last Access Time	April 29, 2025, 7:39 p.m.
File Size	5.6 GB
Keywords	and For Keras DesireCourse Neural - Deep Udemy Learning Tensorflow Net Networks
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Total Files	214
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 532.4 MB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 183.5 MB
10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json 181.8 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 167.8 MB
7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv 143.9 MB
7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 143.9 MB
5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 143.8 MB
9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 143.8 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 112.7 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 111.8 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 108.9 MB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 107.3 MB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 107.0 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 101.0 MB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 99.5 MB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 98.6 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 94.2 MB
6. Some Basic Concepts/1. What is Machine Learning.mp4 91.3 MB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 91.3 MB
5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp4 88.8 MB
2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp4 84.7 MB
9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp4 83.8 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp4 82.9 MB
10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp4 79.5 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp4 77.1 MB
5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp4 75.0 MB
10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp4 74.4 MB
12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp4 72.3 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 70.6 MB
5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp4 70.0 MB
7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp4 68.1 MB
11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp4 66.3 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 63.0 MB
9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp4 62.7 MB
8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp4 61.3 MB
5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp4 58.8 MB
12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp4 57.2 MB
7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp4 56.5 MB
2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp4 53.7 MB
7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp4 53.2 MB
12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp4 52.3 MB
9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp4 51.2 MB
8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp4 50.6 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4 50.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp4 48.1 MB
2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp4 47.8 MB
5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp4 46.4 MB
5. Some Preliminary Tensorflow and Keras Applications/8. GLM Generalized Linear Model.mp4 46.0 MB
13. Miscellaneous Section/1. Use Colabs for Jupyter Data Science.mp4 43.9 MB
9. Deep Learning For Tensorflow & Keras/7. DNN Classifier With Keras-Example 2.mp4 42.4 MB
2. Introduction to Python Data Science Packages/8. Read in Data from Excel.mp4 42.3 MB
11. Autoencoders With Convolution Neural Networks (CNN)/2. Autoencoders for With CNN- Keras.mp4 41.1 MB
10. Convolution Neural Network (CNN) For Image Analysis/12. CNN on Image Data with Keras-Part 2.mp4 40.7 MB
10. Convolution Neural Network (CNN) For Image Analysis/10. CNN With Keras.mp4 37.8 MB
7. Unsupervised Learning With Tensorflow and Keras/6. Autoencoders in Keras (Sparsity Constraints).mp4 37.7 MB
2. Introduction to Python Data Science Packages/9. Basic Data Cleaning.mp4 37.5 MB
8. Neural Network for Tensorflow & Keras/3. Keras MLP For Binary Classification.mp4 36.7 MB
2. Introduction to Python Data Science Packages/1. Python Packages for Data Science.mp4 36.4 MB
10. Convolution Neural Network (CNN) For Image Analysis/9. CNN Workflow for Keras.mp4 36.2 MB
8. Neural Network for Tensorflow & Keras/2. Multi Layer Perceptron (MLP) With Keras.mp4 32.2 MB
3. Introduction to TensorFlow/7. Placeholders in Tensorflow.mp4 31.5 MB
2. Introduction to Python Data Science Packages/2. Introduction to Numpy.mp4 31.2 MB
7. Unsupervised Learning With Tensorflow and Keras/1. What is Unsupervised Learning.mp4 30.6 MB
8. Neural Network for Tensorflow & Keras/5. Keras MLP for Regression.mp4 30.4 MB
9. Deep Learning For Tensorflow & Keras/6. DNN Classifier With Keras.mp4 30.0 MB
3. Introduction to TensorFlow/4. A Tensorflow Session.mp4 28.3 MB
12. Recurrent Neural Networks (RNN)/3.1 all_stocks_5yr.csv.csv 28.2 MB
5. Some Preliminary Tensorflow and Keras Applications/3. Visualize the Results of OLS.mp4 26.5 MB
3. Introduction to TensorFlow/6. Constants and Variables in Tensorflow.mp4 25.9 MB
10. Convolution Neural Network (CNN) For Image Analysis/11. CNN on Image Data with Keras-Part 1.mp4 24.4 MB
4. Introduction to Keras/1. What is Keras.mp4 23.9 MB
7. Unsupervised Learning With Tensorflow and Keras/2. Autoencoders for Unsupervised Classification.mp4 21.2 MB
3. Introduction to TensorFlow/1. A Brief Touchdown.mp4 21.1 MB
10. Convolution Neural Network (CNN) For Image Analysis/5. Pre-Requisite For Working With Imagery Data.mp4 20.1 MB
5. Some Preliminary Tensorflow and Keras Applications/7.2 listings.csv.csv 14.1 MB
5. Some Preliminary Tensorflow and Keras Applications/5. Estimate With Tensorflow Estimators.mp4 11.5 MB
3. Introduction to TensorFlow/5. Interactive Tensorflow Session.mp4 11.3 MB
3. Introduction to TensorFlow/2. A Brief Touchdown Computational Graphs.mp4 11.3 MB
10. Convolution Neural Network (CNN) For Image Analysis/7.1 NIKEAD.zip.zip 10.2 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Introduction to the Course.mp4 9.9 MB
8. Neural Network for Tensorflow & Keras/3.2 sonar.csv.csv 85.7 KB
2. Introduction to Python Data Science Packages/7.3 winequality-red.csv.csv 82.2 KB
2. Introduction to Python Data Science Packages/8.1 boston1.xls.xls 73.5 KB
5. Some Preliminary Tensorflow and Keras Applications/11.1 titanic.csv.csv 59.8 KB
9. Deep Learning For Tensorflow & Keras/3.1 titanic.csv.csv 59.8 KB
8. Neural Network for Tensorflow & Keras/5.1 housing.csv.csv 47.9 KB
9. Deep Learning For Tensorflow & Keras/6.1 pima-indians-diabetes.csv.csv 22.7 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.vtt 18.3 KB
2. Introduction to Python Data Science Packages/7.1 bostonTxt.txt.txt 17.2 KB
2. Introduction to Python Data Science Packages/4. Numpy Operations.vtt 15.6 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.vtt 14.9 KB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.vtt 12.8 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.vtt 10.9 KB
5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).vtt 10.6 KB
2. Introduction to Python Data Science Packages/6. Introduction to Pandas.vtt 10.5 KB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).vtt 10.2 KB
9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).vtt 9.6 KB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.vtt 9.5 KB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.vtt 9.1 KB
5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.vtt 8.6 KB
10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.vtt 7.9 KB
7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.vtt 7.9 KB
12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.vtt 7.6 KB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.vtt 7.3 KB
5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.vtt 7.1 KB
2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.vtt 6.9 KB
9. Deep Learning For Tensorflow & Keras/5.1 Lecture 57_dnn_wide-deep.txt.txt 6.9 KB
9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.vtt 6.7 KB
6. Some Basic Concepts/1. What is Machine Learning.vtt 6.7 KB
10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.vtt 6.7 KB
13. Miscellaneous Section/1. Use Colabs for Jupyter Data Science.vtt 6.5 KB
7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).vtt 6.4 KB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.vtt 6.3 KB
11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.vtt 6.3 KB
5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.vtt 6.2 KB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.vtt 6.2 KB
12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.vtt 6.2 KB
10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.vtt 6.2 KB
2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.vtt 6.1 KB
2. Introduction to Python Data Science Packages/7. Read in Data from CSV.vtt 6.0 KB
9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.vtt 6.0 KB
8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.vtt 5.6 KB
5. Some Preliminary Tensorflow and Keras Applications/8. GLM Generalized Linear Model.vtt 5.4 KB
7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).vtt 5.3 KB
12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.vtt 5.3 KB
7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).vtt 5.2 KB
9. Deep Learning For Tensorflow & Keras/2.1 Iris.csv.csv 5.0 KB
10. Convolution Neural Network (CNN) For Image Analysis/12. CNN on Image Data with Keras-Part 2.vtt 4.9 KB
5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.vtt 4.9 KB
8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.vtt 4.9 KB
5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.vtt 4.8 KB
11. Autoencoders With Convolution Neural Networks (CNN)/2. Autoencoders for With CNN- Keras.vtt 4.6 KB
9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.vtt 4.6 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.vtt 4.5 KB
10. Convolution Neural Network (CNN) For Image Analysis/7.2 tflearn_shoes.txt.txt 4.5 KB
8. Neural Network for Tensorflow & Keras/4.2 iris1.csv.csv 4.4 KB
10. Convolution Neural Network (CNN) For Image Analysis/9. CNN Workflow for Keras.vtt 4.3 KB
10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.vtt 4.1 KB
2. Introduction to Python Data Science Packages/9. Basic Data Cleaning.vtt 4.1 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.vtt 4.1 KB
7. Unsupervised Learning With Tensorflow and Keras/6. Autoencoders in Keras (Sparsity Constraints).vtt 4.0 KB
10. Convolution Neural Network (CNN) For Image Analysis/10. CNN With Keras.vtt 4.0 KB
2. Introduction to Python Data Science Packages/1. Python Packages for Data Science.vtt 4.0 KB
2. Introduction to Python Data Science Packages/2. Introduction to Numpy.vtt 4.0 KB
9. Deep Learning For Tensorflow & Keras/7. DNN Classifier With Keras-Example 2.vtt 3.9 KB
5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.vtt 3.9 KB
3. Introduction to TensorFlow/4. A Tensorflow Session.vtt 3.9 KB
3. Introduction to TensorFlow/6. Constants and Variables in Tensorflow.vtt 3.9 KB
2. Introduction to Python Data Science Packages/8. Read in Data from Excel.vtt 3.8 KB
3. Introduction to TensorFlow/7. Placeholders in Tensorflow.vtt 3.7 KB
8. Neural Network for Tensorflow & Keras/3. Keras MLP For Binary Classification.vtt 3.7 KB
4. Introduction to Keras/1. What is Keras.vtt 3.6 KB
8. Neural Network for Tensorflow & Keras/2. Multi Layer Perceptron (MLP) With Keras.vtt 3.6 KB
5. Some Preliminary Tensorflow and Keras Applications/7.1 Lecture 34_linear regressor_csv data.txt.txt 3.5 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.vtt 3.3 KB
9. Deep Learning For Tensorflow & Keras/3.2 Lecture 55_dnnclass_titanic.txt.txt 3.3 KB
7. Unsupervised Learning With Tensorflow and Keras/7.2 Lecture 49_deep auto.txt.txt 3.2 KB
10. Convolution Neural Network (CNN) For Image Analysis/12.2 cnn_keras-planets.txt.txt 3.1 KB
8. Neural Network for Tensorflow & Keras/5. Keras MLP for Regression.vtt 3.1 KB
5. Some Preliminary Tensorflow and Keras Applications/3. Visualize the Results of OLS.vtt 3.1 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Introduction to the Course.vtt 3.1 KB
10. Convolution Neural Network (CNN) For Image Analysis/6.1 Lecture 65_cnn_cat dog.txt.txt 3.0 KB
5. Some Preliminary Tensorflow and Keras Applications/9.2 Lecture 36_linear classifier python.txt.txt 3.0 KB
9. Deep Learning For Tensorflow & Keras/6. DNN Classifier With Keras.vtt 3.0 KB
7. Unsupervised Learning With Tensorflow and Keras/3.2 Lecture 44_autoencoder_binary.txt.txt 2.9 KB
5. Some Preliminary Tensorflow and Keras Applications/5. Estimate With Tensorflow Estimators.vtt 2.8 KB
5. Some Preliminary Tensorflow and Keras Applications/11.2 Lecture 38_Linear classifier_mixed pred.txt.txt 2.8 KB
5. Some Preliminary Tensorflow and Keras Applications/2.1 Lecture 29_ols reg.txt.txt 2.8 KB
10. Convolution Neural Network (CNN) For Image Analysis/8.1 Lecture 66_cnn_planet.txt.txt 2.7 KB
8. Neural Network for Tensorflow & Keras/1.1 Lecture 49_mlp_mnist.txt.txt 2.7 KB
10. Convolution Neural Network (CNN) For Image Analysis/5. Pre-Requisite For Working With Imagery Data.vtt 2.4 KB
7. Unsupervised Learning With Tensorflow and Keras/5.1 Lecture 47_keras_autoencoder.txt.txt 2.4 KB
10. Convolution Neural Network (CNN) For Image Analysis/11. CNN on Image Data with Keras-Part 1.vtt 2.4 KB
12. Recurrent Neural Networks (RNN)/2.1 international-airline-passengers.csv.csv 2.3 KB
5. Some Preliminary Tensorflow and Keras Applications/4.1 Lecture 31_ML Reg.txt.txt 2.2 KB
7. Unsupervised Learning With Tensorflow and Keras/6.1 Lecture 48_keras_auto-regu.txt.txt 2.2 KB
3. Introduction to TensorFlow/2. A Brief Touchdown Computational Graphs.vtt 2.1 KB
11. Autoencoders With Convolution Neural Networks (CNN)/2.1 keras auto.txt.txt 2.1 KB
12. Recurrent Neural Networks (RNN)/3.2 lstm_stock.txt.txt 2.0 KB
10. Convolution Neural Network (CNN) For Image Analysis/10.1 cnn_keras.txt.txt 1.9 KB
7. Unsupervised Learning With Tensorflow and Keras/2. Autoencoders for Unsupervised Classification.vtt 1.9 KB
7. Unsupervised Learning With Tensorflow and Keras/1. What is Unsupervised Learning.vtt 1.9 KB
3. Introduction to TensorFlow/1. A Brief Touchdown.vtt 1.7 KB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/10. Written Keras Installation Instructions.html 1.7 KB
8. Neural Network for Tensorflow & Keras/2.1 lect 50_keras-mlp1.txt.txt 1.5 KB
3. Introduction to TensorFlow/5. Interactive Tensorflow Session.vtt 1.5 KB
8. Neural Network for Tensorflow & Keras/4.1 lect 51_keras mlp-mc.txt.txt 1.4 KB
2. Introduction to Python Data Science Packages/4.1 numpy op.txt.txt 1.4 KB
8. Neural Network for Tensorflow & Keras/3.1 lect 50_keras mlp-binary.txt.txt 1.4 KB
9. Deep Learning For Tensorflow & Keras/7.1 lect 59_dnn_keras-2.txt.txt 1.4 KB
9. Deep Learning For Tensorflow & Keras/2.2 Lecture 54_dnnclass.txt.txt 1.2 KB
8. Neural Network for Tensorflow & Keras/5.2 lect 52_keras-regression.txt.txt 1.2 KB
9. Deep Learning For Tensorflow & Keras/4.1 Lecture 56_dnnreg.txt.txt 1.1 KB
5. Some Preliminary Tensorflow and Keras Applications/3.1 Lecture 30_Viz.txt.txt 1.0 KB
9. Deep Learning For Tensorflow & Keras/6.2 lect 58_dnn-keras.txt.txt 880 bytes
3. Introduction to TensorFlow/6.1 Lecture 19_constant var.txt.txt 753 bytes
3. Introduction to TensorFlow/7.1 Lecture 26_place.txt.txt 695 bytes
2. Introduction to Python Data Science Packages/5.1 numpy stats.txt.txt 555 bytes
3. Introduction to TensorFlow/4.1 Lecture 17_tf session.txt.txt 550 bytes
2. Introduction to Python Data Science Packages/7.2 read csv_pd.txt.txt 507 bytes
3. Introduction to TensorFlow/3. Common Mathematical Operators in Tensorflow.html 493 bytes
2. Introduction to Python Data Science Packages/3.1 numpy create.txt.txt 470 bytes
2. Introduction to Python Data Science Packages/8.2 read excel_pd.txt.txt 298 bytes
2. Introduction to Python Data Science Packages/7.4 Resp2.csv.csv 276 bytes
3. Introduction to TensorFlow/5.1 Lecture 18_interactive session.txt.txt 259 bytes
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2. Data and Scripts For the Course.html 174 bytes
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/7. Written Tensorflow Installation Instructions.html 167 bytes
10. Convolution Neural Network (CNN) For Image Analysis/5.1 Lecture 64_cnn image.txt.txt 146 bytes
13. Miscellaneous Section/1.1 colab.txt.txt 100 bytes
[DesireCourse.Net].url 51 bytes
[CourseClub.Me].url 48 bytes

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

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