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

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[DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools
  • 1. Introduction to the Course.mp4 (9.9 MB)
  • 1. Introduction to the Course.vtt (3.1 KB)
  • 10. Written Keras Installation Instructions.html (1.7 KB)
  • 2. Data and Scripts For the Course.html (0.2 KB)
  • 2.1 Data.zip.zip (532.4 MB)
  • 3. Python Data Science Environment.mp4 (94.2 MB)
  • 3. Python Data Science Environment.vtt (10.9 KB)
  • 4. For Mac Users.mp4 (50.2 MB)
  • 4. For Mac Users.vtt (4.1 KB)
  • 5. Introduction to IPython.mp4 (101.0 MB)
  • 5. Introduction to IPython.vtt (18.3 KB)
  • 6. Install Tensorflow.mp4 (167.8 MB)
  • 6. Install Tensorflow.vtt (14.9 KB)
  • 7. Written Tensorflow Installation Instructions.html (0.2 KB)
  • 8. Install Keras on Windows 10.mp4 (82.9 MB)
  • 8. Install Keras on Windows 10.vtt (4.5 KB)
  • 9. Install Keras on Mac.mp4 (77.1 MB)
  • 9. Install Keras on Mac.vtt (3.3 KB)
10. Convolution Neural Network (CNN) For Image Analysis
  • 1. Introduction to CNN.mp4 (183.5 MB)
  • 1. Introduction to CNN.vtt (12.8 KB)
  • 10. CNN With Keras.mp4 (37.8 MB)
  • 10. CNN With Keras.vtt (4.0 KB)
  • 10.1 cnn_keras.txt.txt (1.9 KB)
  • 11. CNN on Image Data with Keras-Part 1.mp4 (24.4 MB)
  • 11. CNN on Image Data with Keras-Part 1.vtt (2.4 KB)
  • 12. CNN on Image Data with Keras-Part 2.mp4 (40.7 MB)
  • 12. CNN on Image Data with Keras-Part 2.vtt (4.9 KB)
  • 12.1 planesnet.json.json (181.8 MB)
  • 12.2 cnn_keras-planets.txt.txt (3.1 KB)
  • 2. Implement a CNN for Multi-Class Supervised Classification.mp4 (79.5 MB)
  • 2. Implement a CNN for Multi-Class Supervised Classification.vtt (6.7 KB)
  • 3. Activation Functions.mp4 (91.3 MB)
  • 3. Activation Functions.vtt (6.3 KB)
  • 4. More on CNN.mp4 (48.1 MB)
  • 4. More on CNN.vtt (4.1 KB)
  • 5. Pre-Requisite For Working With Imagery Data.mp4 (20.1 MB)
  • 5. Pre-Requisite For Working With Imagery Data.vtt (2.4 KB)
  • 5.1 Lecture 64_cnn image.txt.txt (0.1 KB)
  • 6. CNN on Image Data-Part 1.mp4 (108.9 MB)
  • 6. CNN on Image Data-Part 1.vtt (9.5 KB)
  • 6.1 Lecture 65_cnn_cat dog.txt.txt (3.0 KB)
  • 7. CNN on Image Data-Part 2.mp4 (71.1 MB)
  • 7. CNN on Image Data-Part 2.vtt (6.2 KB)
  • 7.1 NIKEAD.zip.zip (10.2 MB)
  • 7.2 tflearn_shoes.txt.txt (4.5 KB)
  • 8. More on TFLearn.mp4 (74.4 MB)
  • 8. More on TFLearn.vtt (7.9 KB)
  • 8.1 Lecture 66_cnn_planet.txt.txt (2.7 KB)
  • 9. CNN Workflow for Keras.mp4 (36.2 MB)
  • 9. CNN Workflow for Keras.vtt (4.3 KB)
11. Autoencoders With Convolution Neural Networks (CNN)
  • 1. Autoencoders for With CNN- Tensorflow.mp4 (66.3 MB)
  • 1. Autoencoders for With CNN- Tensorflow.vtt (6.3 KB)
  • 2. Autoencoders for With CNN- Keras.mp4 (41.1 MB)
  • 2. Autoencoders for With CNN- Keras.vtt (4.6 KB)
  • 2.1 keras auto.txt.txt (2.1 KB)
12. Recurrent Neural Networks (RNN)
  • 1. Theory Behind RNNs.mp4 (57.2 MB)
  • 1. Theory Behind RNNs.vtt (5.3 KB)
  • 2. LSTM For Time Series Data.mp4 (52.3 MB)
  • 2. LSTM For Time Series Data.vtt (6.2 KB)
  • 2.1 international-airline-passengers.csv.csv (2.3 KB)
  • 3. LSTM for Predicting Stock Prices.mp4 (72.3 MB)
  • 3. LSTM for Predicting Stock Prices.vtt (7.6 KB)
  • 3.1 all_stocks_5yr.csv.csv (28.2 MB)
  • 3.2 lstm_stock.txt.txt (2.0 KB)
13. Miscellaneous Section
  • 1. Use Colabs for Jupyter Data Science.mp4 (43.9 MB)
  • 1. Use Colabs for Jupyter Data Science.vtt (6.5 KB)
  • 1.1 colab.txt.txt (0.1 KB)
2. Introduction to Python Data Science Packages
  • 1. Python Packages for Data Science.mp4 (36.4 MB)
  • 1. Python Packages for Data Science.vtt (4.0 KB)
  • 2. Introduction to Numpy.mp4 (31.2 MB)
  • 2. Introduction to Numpy.vtt (4.0 KB)
  • 3. Create Numpy Arrays.mp4 (63.3 MB)
  • 3. Create Numpy Arrays.vtt (6.1 KB)
  • 3.1 numpy create.txt.txt (0.5 KB)
  • 4. Numpy Operations.mp4 (111.8 MB)
  • 4. Numpy Operations.vtt (15.6 KB)
  • 4.1 numpy op.txt.txt (1.4 KB)
  • 5. Numpy for Statistical Operation.mp4 (47.8 MB)
  • 5. Numpy for Statistical Operation.vtt (6.9 KB)
  • 5.1 numpy stats.txt.txt (0.5 KB)
  • 6. Introduction to Pandas.mp4 (84.7 MB)
  • 6. Introduction to Pandas.vtt (10.5 KB)
  • 7. Read in Data from CSV.mp4 (53.7 MB)
  • 7. Read in Data from CSV.vtt (6.0 KB)
  • 7.1 bostonTxt.txt.txt (17.2 KB)
  • 7.2 read csv_pd.txt.txt (0.5 KB)
  • 7.3 winequality-red.csv.csv (82.2 KB)
  • 7.4 Resp2.csv.csv (0.3 KB)
  • 8. Read in Data from Excel.mp4 (42.3 MB)
  • 8. Read in Data from Excel.vtt (3.8 KB)
  • 8.1 boston1.xls.xls (73.5 KB)
  • 8.2 read excel_pd.txt.txt (0.3 KB)
  • 9. Basic Data Cleaning.mp4 (37.5 MB)
  • 9. Basic Data Cleaning.vtt (4.1 KB)
3. Introduction to TensorFlow
  • 1. A Brief Touchdown.mp4 (21.1 MB)
  • 1. A Brief Touchdown.vtt (1.7 KB)
  • 2. A Brief Touchdown Computational Graphs.mp4 (11.3 MB)
  • 2. A Brief Touchdown Computational Graphs.vtt (2.1 KB)
  • 3. Common Mathematical Operators in Tensorflow.html (0.5 KB)
  • 4. A Tensorflow Session.mp4 (28.3 MB)
  • 4. A Tensorflow Session.vtt (3.9 KB)
  • 4.1 Lecture 17_tf session.txt.txt (0.5 KB)
  • 5. Interactive Tensorflow Session.mp4 (11.3 MB)
  • 5. Interactive Tensorflow Session.vtt (1.5 KB)
  • 5.1 Lecture 18_interactive session.txt.txt (0.3 KB)
  • 6. Constants and Variables in Tensorflow.mp4 (25.9 MB)
  • 6. Constants and Variables in Tensorflow.vtt (3.9 KB)

Description

Tensorflow and Keras For Neural Networks and Deep Learning

Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science

For More Courses Visit: https://desirecourse.net

For More Courses Visit: https://courseclub.me



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

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5.6 GB
seeders:4
leechers:8
Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]

Torrent hash: 563666B3C54B511537BA28B4722BD573F760952B