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

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

Torrent:	Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]
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
Downloads:	99
Category:	Other /Tutorials
Size:	5.6 GB
Show Files »	[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) files
Added:	2019-05-17 13:06:53
Language:	English
Peers:	Seeders : 4 , Leechers : 8
Tags:	Udemy Tensorflow Keras Neural Networks Deep Learning
Release name:	Udemy - Tensorflow and Keras For Neural Networks and Deep Learning [DC]
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