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Total Size:
4.6 GB
Info Hash:
F40D359139D1B8CD941ACE3CFDAE5F090612E963
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Added:
April 21, 2026, 11:38 p.m.
Stats:
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(Last updated: April 21, 2026, 11:38 p.m.)
| File | Size |
|---|---|
| ['07 - Building a CNN/007 Develop an Image Recognition System Using Convolutional Neural Networks.mp4'] | 0 bytes |
| ['Direct Download.txt'] | 0 bytes |
| ['01 - Welcome to the course!/001 Welcome Challenge!.html'] | 0 bytes |
| ['01 - Welcome to the course!/002 Introduction to Deep Learning From Historical Context to Modern Applications.mp4'] | 0 bytes |
| ['01 - Welcome to the course!/002 Introduction to Deep Learning From Historical Context to Modern Applications.srt'] | 0 bytes |
| ['01 - Welcome to the course!/003 Get the codes, datasets and slides here.html'] | 0 bytes |
| ['01 - Welcome to the course!/004 EXTRA Use ChatGPT to Boost your Deep Learning Skills.html'] | 0 bytes |
| ['01 - Welcome to the course!/Course updated jan 2025.txt'] | 0 bytes |
| ['01 - Welcome to the course!/Direct Download.txt'] | 0 bytes |
| ['02 - --------------------- Part 1 - Artificial Neural Networks ---------------------/001 Welcome to Part 1 - Artificial Neural Networks.html'] | 0 bytes |
| ["03 - ANN Intuition/001 What You'll Need for ANN.html"] | 0 bytes |
| ['03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.mp4'] | 0 bytes |
| ['03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.srt'] | 0 bytes |
| ['03 - ANN Intuition/003 Understanding Neurons The Building Blocks of Artificial Neural Networks.mp4'] | 0 bytes |
| ['03 - ANN Intuition/003 Understanding Neurons The Building Blocks of Artificial Neural Networks.srt'] | 0 bytes |
| ['03 - ANN Intuition/004 Understanding Activation Functions in Neural Networks Sigmoid, ReLU, and More.mp4'] | 0 bytes |
| ['03 - ANN Intuition/004 Understanding Activation Functions in Neural Networks Sigmoid, ReLU, and More.srt'] | 0 bytes |
| ['03 - ANN Intuition/005 How Do Neural Networks Work Step-by-Step Guide to Property Valuation Example.mp4'] | 0 bytes |
| ['03 - ANN Intuition/005 How Do Neural Networks Work Step-by-Step Guide to Property Valuation Example.srt'] | 0 bytes |
| ['03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.mp4'] | 0 bytes |
| ['03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.srt'] | 0 bytes |
| ['03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.mp4'] | 0 bytes |
| ['03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.srt'] | 0 bytes |
| ['03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.mp4'] | 0 bytes |
| ['03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt'] | 0 bytes |
| ['03 - ANN Intuition/009 Understanding Backpropagation Algorithm Key to Optimizing Deep Learning Models.mp4'] | 0 bytes |
| ['03 - ANN Intuition/009 Understanding Backpropagation Algorithm Key to Optimizing Deep Learning Models.srt'] | 0 bytes |
| ['04 - Building an ANN/001 Get the code and dataset ready.html'] | 0 bytes |
| ['04 - Building an ANN/002 Step 1 - Data Preprocessing for Deep Learning Preparing Neural Network Dataset.mp4'] | 0 bytes |
| ['04 - Building an ANN/002 Step 1 - Data Preprocessing for Deep Learning Preparing Neural Network Dataset.srt'] | 0 bytes |
| ['04 - Building an ANN/003 Check out our free course on ANN for Regression.html'] | 0 bytes |
| ['04 - Building an ANN/004 Step 2 - Data Preprocessing for Neural Networks Essential Steps and Techniques.mp4'] | 0 bytes |
| ['04 - Building an ANN/004 Step 2 - Data Preprocessing for Neural Networks Essential Steps and Techniques.srt'] | 0 bytes |
| ['04 - Building an ANN/005 Step 3 - Constructing an Artificial Neural Network Adding Input --& Hidden Layers.mp4'] | 0 bytes |
| ['04 - Building an ANN/005 Step 3 - Constructing an Artificial Neural Network Adding Input --& Hidden Layers.srt'] | 0 bytes |
| ['04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.mp4'] | 0 bytes |
| ['04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.srt'] | 0 bytes |
| ['04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.mp4'] | 0 bytes |
| ['04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.srt'] | 0 bytes |
| ['05 - -------------------- Part 2 - Convolutional Neural Networks --------------------/001 Welcome to Part 2 - Convolutional Neural Networks.html'] | 0 bytes |
| ["06 - CNN Intuition/001 What You'll Need for CNN.html"] | 0 bytes |
| ['06 - CNN Intuition/002 Understanding CNN Architecture From Convolution to Fully Connected Layers.mp4'] | 0 bytes |
| ['06 - CNN Intuition/002 Understanding CNN Architecture From Convolution to Fully Connected Layers.srt'] | 0 bytes |
| ['06 - CNN Intuition/003 How Do Convolutional Neural Networks Work Understanding CNN Architecture.mp4'] | 0 bytes |
| ['06 - CNN Intuition/003 How Do Convolutional Neural Networks Work Understanding CNN Architecture.srt'] | 0 bytes |
| ['06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.mp4'] | 0 bytes |
| ['06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.srt'] | 0 bytes |
| ['06 - CNN Intuition/005 Rectified Linear Units --(ReLU--) in Deep Learning Optimizing CNN Performance.mp4'] | 0 bytes |
| ['06 - CNN Intuition/005 Rectified Linear Units --(ReLU--) in Deep Learning Optimizing CNN Performance.srt'] | 0 bytes |
| ['06 - CNN Intuition/006 Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.mp4'] | 0 bytes |
| ['06 - CNN Intuition/006 Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.srt'] | 0 bytes |
| ['06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).mp4'] | 0 bytes |
| ['06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).srt'] | 0 bytes |
| ['06 - CNN Intuition/008 How Do Fully Connected Layers Work in Convolutional Neural Networks --(CNNs--).mp4'] | 0 bytes |
| ['06 - CNN Intuition/008 How Do Fully Connected Layers Work in Convolutional Neural Networks --(CNNs--).srt'] | 0 bytes |
| ['06 - CNN Intuition/009 CNN Building Blocks Feature Maps, ReLU, Pooling, and Fully Connected Layers.mp4'] | 0 bytes |
| ['06 - CNN Intuition/009 CNN Building Blocks Feature Maps, ReLU, Pooling, and Fully Connected Layers.srt'] | 0 bytes |
| ['06 - CNN Intuition/010 Understanding Softmax Activation and Cross-Entropy Loss in Deep Learning.mp4'] | 0 bytes |
| ['06 - CNN Intuition/010 Understanding Softmax Activation and Cross-Entropy Loss in Deep Learning.srt'] | 0 bytes |
| ['07 - Building a CNN/001 Get the code and dataset ready.html'] | 0 bytes |
| ['07 - Building a CNN/002 Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.mp4'] | 0 bytes |
| ['07 - Building a CNN/002 Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.srt'] | 0 bytes |
| ['07 - Building a CNN/003 Step 2 - Deep Learning Preprocessing Scaling --& Transforming Images for CNNs.mp4'] | 0 bytes |
| ['07 - Building a CNN/003 Step 2 - Deep Learning Preprocessing Scaling --& Transforming Images for CNNs.srt'] | 0 bytes |
| ['07 - Building a CNN/004 Step 3 - Building CNN Architecture Convolutional Layers --& Max Pooling Explained.mp4'] | 0 bytes |
| ['07 - Building a CNN/004 Step 3 - Building CNN Architecture Convolutional Layers --& Max Pooling Explained.srt'] | 0 bytes |
| ['07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.mp4'] | 0 bytes |
| ['07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.srt'] | 0 bytes |
| ['07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.mp4'] | 0 bytes |
| ['07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.srt'] | 0 bytes |
| ['Course updated jan 2025.txt'] | 0 bytes |
| ['07 - Building a CNN/007 Develop an Image Recognition System Using Convolutional Neural Networks.srt'] | 0 bytes |
| ['07 - Building a CNN/Course updated jan 2025.txt'] | 0 bytes |
| ['07 - Building a CNN/Direct Download.txt'] | 0 bytes |
| ['08 - ---------------------- Part 3 - Recurrent Neural Networks ----------------------/001 Welcome to Part 3 - Recurrent Neural Networks.html'] | 0 bytes |
| ["09 - RNN Intuition/001 What You'll Need for RNN.html"] | 0 bytes |
| ['09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.mp4'] | 0 bytes |
| ['09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.srt'] | 0 bytes |
| ['09 - RNN Intuition/003 What is a Recurrent Neural Network --(RNN--) Deep Learning for Sequential Data.mp4'] | 0 bytes |
| ['09 - RNN Intuition/003 What is a Recurrent Neural Network --(RNN--) Deep Learning for Sequential Data.srt'] | 0 bytes |
| ['09 - RNN Intuition/004 Understanding the Vanishing Gradient Problem in Recurrent Neural Networks --(RNNs--).mp4'] | 0 bytes |
| ['09 - RNN Intuition/004 Understanding the Vanishing Gradient Problem in Recurrent Neural Networks --(RNNs--).srt'] | 0 bytes |
| ['09 - RNN Intuition/005 Understanding Long Short-Term Memory --(LSTM--) Architecture for Deep Learning.mp4'] | 0 bytes |
| ['09 - RNN Intuition/005 Understanding Long Short-Term Memory --(LSTM--) Architecture for Deep Learning.srt'] | 0 bytes |
| ['09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4'] | 0 bytes |
| ['09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.srt'] | 0 bytes |
| ['09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.mp4'] | 0 bytes |
| ['09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.srt'] | 0 bytes |
| ['10 - Building a RNN/001 Get the code and dataset ready.html'] | 0 bytes |
| ['10 - Building a RNN/002 Step 1 - Building a Robust LSTM Neural Network for Stock Price Trend Prediction.mp4'] | 0 bytes |
| ['10 - Building a RNN/002 Step 1 - Building a Robust LSTM Neural Network for Stock Price Trend Prediction.srt'] | 0 bytes |
| ['10 - Building a RNN/003 Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.mp4'] | 0 bytes |
| ['10 - Building a RNN/003 Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.srt'] | 0 bytes |
| ['10 - Building a RNN/004 Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.mp4'] | 0 bytes |
| ['10 - Building a RNN/004 Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.srt'] | 0 bytes |
| ['10 - Building a RNN/005 Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4'] | 0 bytes |
| ['10 - Building a RNN/005 Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.srt'] | 0 bytes |
| ['10 - Building a RNN/006 Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.mp4'] | 0 bytes |
| ['10 - Building a RNN/006 Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.srt'] | 0 bytes |
| ['10 - Building a RNN/007 Step 6 - Create RNN Architecture Sequential Layers vs Computational Graphs.mp4'] | 0 bytes |
| ['10 - Building a RNN/007 Step 6 - Create RNN Architecture Sequential Layers vs Computational Graphs.srt'] | 0 bytes |
| ['10 - Building a RNN/008 Step 7 - Adding First LSTM Layer Key Components for Stock Market Prediction.mp4'] | 0 bytes |
| ['10 - Building a RNN/008 Step 7 - Adding First LSTM Layer Key Components for Stock Market Prediction.srt'] | 0 bytes |
| ['10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.mp4'] | 0 bytes |
| ['10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.srt'] | 0 bytes |
| ['10 - Building a RNN/010 Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.mp4'] | 0 bytes |
| ['10 - Building a RNN/010 Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.srt'] | 0 bytes |
| ['10 - Building a RNN/011 Step 10 - Compile RNN with Adam Optimizer for Stock Price Prediction in Python.mp4'] | 0 bytes |
| ['10 - Building a RNN/011 Step 10 - Compile RNN with Adam Optimizer for Stock Price Prediction in Python.srt'] | 0 bytes |
| ['10 - Building a RNN/012 Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.mp4'] | 0 bytes |
| ['10 - Building a RNN/012 Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.srt'] | 0 bytes |
| ['10 - Building a RNN/013 Step 12 - Visualizing LSTM Predictions Real vs Forecasted Google Stock Prices.mp4'] | 0 bytes |
| ['10 - Building a RNN/013 Step 12 - Visualizing LSTM Predictions Real vs Forecasted Google Stock Prices.srt'] | 0 bytes |
| ['10 - Building a RNN/014 Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.mp4'] | 0 bytes |
| ['10 - Building a RNN/014 Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.srt'] | 0 bytes |
| ['10 - Building a RNN/015 Step 14 - Creating 3D Input Structure for LSTM Stock Price Prediction in Python.mp4'] | 0 bytes |
| ['10 - Building a RNN/015 Step 14 - Creating 3D Input Structure for LSTM Stock Price Prediction in Python.srt'] | 0 bytes |
| ['10 - Building a RNN/016 Step 15 - Visualizing LSTM Predictions Plotting Real vs Predicted Stock Prices.mp4'] | 0 bytes |
| ['10 - Building a RNN/016 Step 15 - Visualizing LSTM Predictions Plotting Real vs Predicted Stock Prices.srt'] | 0 bytes |
| ['11 - Evaluating and Improving the RNN/001 Evaluating the RNN.html'] | 0 bytes |
| ['11 - Evaluating and Improving the RNN/002 Improving the RNN.html'] | 0 bytes |
| ['12 - ------------------------ Part 4 - Self Organizing Maps ------------------------/001 Welcome to Part 4 - Self Organizing Maps.html'] | 0 bytes |
| ['13 - SOMs Intuition/001 How Do Self-Organizing Maps Work Understanding SOM in Deep Learning.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/001 How Do Self-Organizing Maps Work Understanding SOM in Deep Learning.srt'] | 0 bytes |
| ['13 - SOMs Intuition/002 Self-Organizing Maps --(SOM--) Unsupervised Deep Learning for Dimensionality Reduct.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/002 Self-Organizing Maps --(SOM--) Unsupervised Deep Learning for Dimensionality Reduct.srt'] | 0 bytes |
| ['13 - SOMs Intuition/003 Why K-Means Clustering is Essential for Understanding Self-Organizing Maps.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/003 Why K-Means Clustering is Essential for Understanding Self-Organizing Maps.srt'] | 0 bytes |
| ['13 - SOMs Intuition/004 Self-Organizing Maps Tutorial Dimensionality Reduction in Machine Learning.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/004 Self-Organizing Maps Tutorial Dimensionality Reduction in Machine Learning.srt'] | 0 bytes |
| ['13 - SOMs Intuition/005 How Self-Organizing Maps --(SOMs--) Learn Unsupervised Deep Learning Explained.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/005 How Self-Organizing Maps --(SOMs--) Learn Unsupervised Deep Learning Explained.srt'] | 0 bytes |
| ['13 - SOMs Intuition/006 How to Create a Self-Organizing Map --(SOM--) in DL Step-by-Step Tutorial.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/006 How to Create a Self-Organizing Map --(SOM--) in DL Step-by-Step Tutorial.srt'] | 0 bytes |
| ['13 - SOMs Intuition/007 Interpreting SOM Clusters Unsupervised Learning Techniques for Data Analysis.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/007 Interpreting SOM Clusters Unsupervised Learning Techniques for Data Analysis.srt'] | 0 bytes |
| ['13 - SOMs Intuition/008 Understanding K-Means Clustering Intuitive Explanation with Visual Examples.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/008 Understanding K-Means Clustering Intuitive Explanation with Visual Examples.srt'] | 0 bytes |
| ['13 - SOMs Intuition/009 K-Means Clustering Avoiding the Random Initialization Trap in Machine Learning.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/009 K-Means Clustering Avoiding the Random Initialization Trap in Machine Learning.srt'] | 0 bytes |
| ['13 - SOMs Intuition/010 How to Find the Optimal Number of Clusters in K-Means WCSS and Elbow Method.mp4'] | 0 bytes |
| ['13 - SOMs Intuition/010 How to Find the Optimal Number of Clusters in K-Means WCSS and Elbow Method.srt'] | 0 bytes |
| ['14 - Building a SOM/001 Get the code and dataset ready.html'] | 0 bytes |
| ['14 - Building a SOM/002 Step 1 - Implementing Self-Organizing Maps --(SOMs--) for Fraud Detection in Python.mp4'] | 0 bytes |
| ['14 - Building a SOM/002 Step 1 - Implementing Self-Organizing Maps --(SOMs--) for Fraud Detection in Python.srt'] | 0 bytes |
| ['14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.mp4'] | 0 bytes |
| ['14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.srt'] | 0 bytes |
| ['14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.mp4'] | 0 bytes |
| ['14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.srt'] | 0 bytes |
| ['14 - Building a SOM/005 Step 4 - Catching Cheaters with SOMs Mapping Winning Nodes to Customer Data.mp4'] | 0 bytes |
| ['14 - Building a SOM/005 Step 4 - Catching Cheaters with SOMs Mapping Winning Nodes to Customer Data.srt'] | 0 bytes |
| ['14 - Building a SOM/Course updated jan 2025.txt'] | 0 bytes |
| ['14 - Building a SOM/Direct Download.txt'] | 0 bytes |
| ['15 - Mega Case Study/001 Get the code and dataset ready.html'] | 0 bytes |
| ['15 - Mega Case Study/002 Step 1 - Building a Hybrid Deep Learning Model for Credit Card Fraud Detection.mp4'] | 0 bytes |
| ['15 - Mega Case Study/002 Step 1 - Building a Hybrid Deep Learning Model for Credit Card Fraud Detection.srt'] | 0 bytes |
| ['15 - Mega Case Study/003 Step 2 - Developing a Fraud Detection System Using Self-Organizing Maps.mp4'] | 0 bytes |
| ['15 - Mega Case Study/003 Step 2 - Developing a Fraud Detection System Using Self-Organizing Maps.srt'] | 0 bytes |
| ['15 - Mega Case Study/004 Step 3 - Building a Hybrid Model From Unsupervised to Supervised Deep Learning.mp4'] | 0 bytes |
| ['15 - Mega Case Study/004 Step 3 - Building a Hybrid Model From Unsupervised to Supervised Deep Learning.srt'] | 0 bytes |
| ['15 - Mega Case Study/005 Step 4 - Implementing Fraud Detection with SOM A Deep Learning Approach.mp4'] | 0 bytes |
| ['15 - Mega Case Study/005 Step 4 - Implementing Fraud Detection with SOM A Deep Learning Approach.srt'] | 0 bytes |
| ['16 - ------------------------- Part 5 - Boltzmann Machines -------------------------/001 Welcome to Part 5 - Boltzmann Machines.html'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/001 Understanding Boltzmann Machines Deep Learning Fundamentals for AI Enthusiasts.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/001 Understanding Boltzmann Machines Deep Learning Fundamentals for AI Enthusiasts.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/002 Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/002 Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/003 Deep Learning Fundamentals Energy-Based Models --& Their Role in Neural Networks.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/003 Deep Learning Fundamentals Energy-Based Models --& Their Role in Neural Networks.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/004 How to Edit Wikipedia Adding Boltzmann Distribution in Deep Learning.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/004 How to Edit Wikipedia Adding Boltzmann Distribution in Deep Learning.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/005 How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/005 How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/006 How Energy-Based Models Work Deep Dive into Contrastive Divergence Algorithm.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/006 How Energy-Based Models Work Deep Dive into Contrastive Divergence Algorithm.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/007 Deep Belief Networks Understanding RBM Stacking in Deep Learning Models.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/007 Deep Belief Networks Understanding RBM Stacking in Deep Learning Models.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/008 Deep Boltzmann Machines vs Deep Belief Networks Key Differences Explained.mp4'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/008 Deep Boltzmann Machines vs Deep Belief Networks Key Differences Explained.srt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/Course updated jan 2025.txt'] | 0 bytes |
| ['17 - Boltzmann Machine Intuition/Direct Download.txt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/001 Get the code and dataset ready.html'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/002 Step 0 - Building a Movie Recommender System with RBMs Data Preprocessing Guide.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/002 Step 0 - Building a Movie Recommender System with RBMs Data Preprocessing Guide.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/003 Same Data Preprocessing in Parts 5 and 6.html'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/004 Step 1 - Importing Movie Datasets for RBM-Based Recommender Systems in Python.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/004 Step 1 - Importing Movie Datasets for RBM-Based Recommender Systems in Python.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/005 Step 2 - Preparing Training and Test Sets for Restricted Boltzmann Machine.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/005 Step 2 - Preparing Training and Test Sets for Restricted Boltzmann Machine.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/006 Step 3 - Preparing Data for RBM Calculating Total Users and Movies in Python.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/006 Step 3 - Preparing Data for RBM Calculating Total Users and Movies in Python.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/007 Step 4 - Convert Training --& Test Sets to RBM-Ready Arrays in Python.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/007 Step 4 - Convert Training --& Test Sets to RBM-Ready Arrays in Python.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/008 Step 5 - Converting NumPy Arrays to PyTorch Tensors for Deep Learning Models.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/008 Step 5 - Converting NumPy Arrays to PyTorch Tensors for Deep Learning Models.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/009 Step 6 - RBM Data Preprocessing Transforming Movie Ratings for Neural Networks.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/009 Step 6 - RBM Data Preprocessing Transforming Movie Ratings for Neural Networks.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/010 Step 7 - Implementing Restricted Boltzmann Machine Class Structure in PyTorch.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/010 Step 7 - Implementing Restricted Boltzmann Machine Class Structure in PyTorch.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/011 Step 8 - RBM Hidden Layer Sampling Bernoulli Distribution in PyTorch Tutorial.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/011 Step 8 - RBM Hidden Layer Sampling Bernoulli Distribution in PyTorch Tutorial.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/012 Step 9 - RBM Visible Node Sampling Bernoulli Distribution in Deep Learning.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/012 Step 9 - RBM Visible Node Sampling Bernoulli Distribution in Deep Learning.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/013 Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/013 Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/014 Step 11 - How to Set Up an RBM Model Choosing NV, NH, and Batch Size Parameters.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/014 Step 11 - How to Set Up an RBM Model Choosing NV, NH, and Batch Size Parameters.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/015 Step 12 - RBM Training Loop Epoch Setup and Loss Function Implementation.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/015 Step 12 - RBM Training Loop Epoch Setup and Loss Function Implementation.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/016 Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/016 Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/017 Step 14 - Optimizing RBM Models From Training to Test Set Performance Analysis.mp4'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/017 Step 14 - Optimizing RBM Models From Training to Test Set Performance Analysis.srt'] | 0 bytes |
| ['18 - Building a Boltzmann Machine/018 Evaluating the Boltzmann Machine.html'] | 0 bytes |
| ['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/001 Welcome to Part 6 - AutoEncoders.html'] | 0 bytes |
| ['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/Course updated jan 2025.txt'] | 0 bytes |
| ['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/Direct Download.txt'] | 0 bytes |
| ['20 - AutoEncoders Intuition/001 Deep Learning Autoencoders Types, Architecture, and Training Explained.mp4'] | 0 bytes |
| ['20 - AutoEncoders Intuition/001 Deep Learning Autoencoders Types, Architecture, and Training Explained.srt'] | 0 bytes |
| ['20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.mp4'] | 0 bytes |
| ['20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.srt'] | 0 bytes |
| ['20 - AutoEncoders Intuition/003 Autoencoder Bias in Deep Learning Improving Neural Network Performance.mp4'] | 0 bytes |
| ['20 - AutoEncoders Intuition/003 Autoencoder Bias in Deep Learning Improving Neural Network Performance.srt'] | 0 bytes |
| ['20 - AutoEncoders Intuition/004 How to Train an Autoencoder Step-by-Step Guide for Deep Learning Beginners.mp4'] | 0 bytes |
| ['20 - AutoEncoders Intuition/004 How to Train an Autoencoder Step-by-Step Guide for Deep Learning Beginners.srt'] | 0 bytes |
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SOURCE: Deep Learning A-Z 2025 Neural Networks, AI ChatGPT Jan 2025
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Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included. Updated Jan 2025 Part 1 - Artificial Neural Networks Part 2 - Convolutional Neural Networks Part 3 - Recurrent Neural Networks Part 4 - Self Organizing Maps Part 5 - Boltzmann Machines Part 6 - Auto Encoders Annex - Get the Machine Learning Basics Enjoy
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