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07. Building a CNN/7. Develop an Image Recognition System Using Convolutional Neural Networks.mp4 161.6 MB
09. RNN Intuition/6. How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4 159.4 MB
18. Building a Boltzmann Machine/16. Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.mp4 151.1 MB
17. Boltzmann Machine Intuition/5. How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.mp4 149.4 MB
13. SOMs Intuition/8. Understanding K-Means Clustering Intuitive Explanation with Visual Examples.mp4 132.4 MB
10. Building a RNN/14. Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.mp4 132.0 MB
07. Building a CNN/3. Step 2 - Deep Learning Preprocessing Scaling & Transforming Images for CNNs.mp4 115.2 MB
09. RNN Intuition/3. What is a Recurrent Neural Network (RNN) Deep Learning for Sequential Data.mp4 113.5 MB
21. Building an AutoEncoder/7. Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.mp4 109.1 MB
10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4 108.8 MB
18. Building a Boltzmann Machine/7. Step 4 - Convert Training & Test Sets to RBM-Ready Arrays in Python.mp4 108.3 MB
18. Building a Boltzmann Machine/13. Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.mp4 104.1 MB
21. Building an AutoEncoder/3. Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.mp4 103.9 MB
13. SOMs Intuition/5. How Self-Organizing Maps (SOMs) Learn Unsupervised Deep Learning Explained.mp4 103.8 MB
06. CNN Intuition/6. Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.mp4 94.5 MB
17. Boltzmann Machine Intuition/2. Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.mp4 91.6 MB
06. CNN Intuition/4. How to Apply Convolution Filters in Neural Networks Feature Detection Explained.mp4 89.6 MB
20. AutoEncoders Intuition/2. Autoencoders in Machine Learning Applications and Architecture Overview.mp4 88.3 MB
10. Building a RNN/6. Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.mp4 84.3 MB

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83468_0134.jpg 5.2 MB
83468_0027.jpg 5.4 MB
83468_0043.jpg 5.4 MB
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83468_0037.jpg 5.7 MB
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83468_0107.jpg 5.8 MB
83468_0135.jpg 5.8 MB
83468_0048.jpg 5.8 MB
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83468_0059.jpg 5.9 MB
83468_0041.jpg 5.9 MB
83468_0144.jpg 5.9 MB
83468_0039.jpg 6.0 MB
83468_0034.jpg 6.1 MB
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83468_0075.jpg 6.1 MB
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[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

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5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
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