[ DevCourseWeb.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python

Creation Time	Dec. 20, 2025, 7:54 p.m.
Last Access Time	Jan. 11, 2026, 1:14 a.m.
File Size	656.0 MB
Keywords	for Neural Python - Deep Udemy DevCourseWeb Build Learning in com Networks
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~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 47.6 MB
~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.mp4 37.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 28.0 MB
~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 26.5 MB
~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 25.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 23.5 MB
~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 23.4 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 23.2 MB
~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.mp4 22.8 MB
~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 22.4 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 21.0 MB
~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 19.6 MB
~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.mp4 15.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 13.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.2 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.0 MB
~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .mp4 11.6 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.mp4 11.5 MB
~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 11.5 MB
~Get Your Files Here !/8. Implementation of ANN in Python/13. Adding the next hidden layer.mp4 11.2 MB
~Get Your Files Here !/10. Implementation of CNN in Python/2. Importing libraries.mp4 11.1 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/4. Pooling Layer.mp4 9.7 MB
~Get Your Files Here !/6. Gradient Descent Algorithm/1. What is Gradient Decent.mp4 9.4 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/5. Fully connected Layer.mp4 9.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/5. Loading the dataset.mp4 9.2 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/4. Architecture of a neural network.mp4 9.1 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/1. Introduction.mp4 8.9 MB
~Get Your Files Here !/10. Implementation of CNN in Python/4. Accuracy of the model.mp4 8.8 MB
~Get Your Files Here !/5. Activation Functions/1. What is the Activation Function.mp4 8.6 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/2. Anatomy and function of neurons.mp4 7.2 MB
~Get Your Files Here !/1. Introduction to Deep Learning/2. Why is Deep Learning Important.mp4 7.2 MB
~Get Your Files Here !/5. Activation Functions/3. The sigmoid function.mp4 7.1 MB
~Get Your Files Here !/4. Neural Network Architectures/5. Long Short-Term Memory (LSTM) networks.mp4 6.5 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/4. Applications of Neural Networks.mp4 6.4 MB
~Get Your Files Here !/5. Activation Functions/4. Hyperbolic tangent function.mp4 6.3 MB
~Get Your Files Here !/10. Implementation of CNN in Python/1. Dataset.mp4 6.2 MB
~Get Your Files Here !/6. Gradient Descent Algorithm/3. Gradient Decent vs Stochastic Gradient Decent.mp4 6.2 MB
~Get Your Files Here !/6. Gradient Descent Algorithm/2. What is Stochastic Gradient Decent.mp4 6.0 MB
~Get Your Files Here !/4. Neural Network Architectures/4. Recurrent neural network (RNN).mp4 6.0 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/2. Components of convolutional neural networks.mp4 5.9 MB
~Get Your Files Here !/3. Propagation of information in ANNs/1. Feed-forward and Back Propagation Networks.mp4 5.8 MB
~Get Your Files Here !/3. Propagation of information in ANNs/2. Backpropagation In Neural Networks.mp4 5.4 MB
~Get Your Files Here !/1. Introduction to Deep Learning/3. Software and Frameworks.mp4 5.4 MB
~Get Your Files Here !/5. Activation Functions/6. Rectified Linear Unit (ReLU) function.mp4 5.3 MB
~Get Your Files Here !/4. Neural Network Architectures/6. Hopfield neural network.mp4 5.3 MB
~Get Your Files Here !/3. Propagation of information in ANNs/3. Minimizing the cost function using backpropagation.mp4 5.0 MB
~Get Your Files Here !/4. Neural Network Architectures/1. Single layer perceptron (SLP) model.mp4 4.8 MB
~Get Your Files Here !/4. Neural Network Architectures/3. Multi-layer perceptron (MLP) Neural Network.mp4 4.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/1. Introduction.mp4 4.7 MB
~Get Your Files Here !/4. Neural Network Architectures/7. Boltzmann Machine Neural Network.mp4 4.7 MB
~Get Your Files Here !/5. Activation Functions/2. Important Terminologies.mp4 4.6 MB
~Get Your Files Here !/4. Neural Network Architectures/2. Radial Basis Network (RBN).mp4 4.4 MB
~Get Your Files Here !/5. Activation Functions/5. Softmax function.mp4 4.2 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/2. Advantages of Neural Networks.mp4 4.2 MB
~Get Your Files Here !/5. Activation Functions/7. Leaky Rectified Linear Unit function.mp4 4.0 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/3. Disadvantages of Neural Networks.mp4 3.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/3. Problem Statement.mp4 3.2 MB
~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.srt 11.4 KB
~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.srt 6.7 KB
~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.srt 4.7 KB
~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.srt 4.5 KB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.srt 4.2 KB
~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.srt 4.0 KB
~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.srt 3.9 KB
~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .srt 3.9 KB
~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.srt 3.8 KB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.srt 3.6 KB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.srt 3.5 KB
~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.srt 3.5 KB
~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.srt 3.2 KB
~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.srt 3.2 KB
~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.srt 3.0 KB
~Get Your Files Here !/10. Implementation of CNN in Python/2. Importing libraries.srt 2.6 KB
~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.srt 2.3 KB
~Get Your Files Here !/5. Activation Functions/3. The sigmoid function.srt 2.3 KB
~Get Your Files Here !/7. Summary Overview of Neural Networks/4. Applications of Neural Networks.srt 2.1 KB
~Get Your Files Here !/1. Introduction to Deep Learning/2. Why is Deep Learning Important.srt 2.1 KB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/4. Pooling Layer.srt 2.1 KB
~Get Your Files Here !/6. Gradient Descent Algorithm/1. What is Gradient Decent.srt 2.1 KB
~Get Your Files Here !/6. Gradient Descent Algorithm/2. What is Stochastic Gradient Decent.srt 2.0 KB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/5. Fully connected Layer.srt 1.9 KB
~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.srt 1.9 KB
~Get Your Files Here !/5. Activation Functions/1. What is the Activation Function.srt 1.9 KB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/4. Architecture of a neural network.srt 1.7 KB
~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.srt 1.6 KB
~Get Your Files Here !/3. Propagation of information in ANNs/3. Minimizing the cost function using backpropagation.srt 1.6 KB
~Get Your Files Here !/5. Activation Functions/6. Rectified Linear Unit (ReLU) function.srt 1.5 KB
~Get Your Files Here !/4. Neural Network Architectures/5. Long Short-Term Memory (LSTM) networks.srt 1.5 KB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/1. Introduction.srt 1.4 KB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/2. Anatomy and function of neurons.srt 1.4 KB
~Get Your Files Here !/5. Activation Functions/4. Hyperbolic tangent function.srt 1.3 KB
~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.srt 1.3 KB
~Get Your Files Here !/4. Neural Network Architectures/6. Hopfield neural network.srt 1.3 KB
~Get Your Files Here !/8. Implementation of ANN in Python/13. Adding the next hidden layer.srt 1.3 KB
~Get Your Files Here !/4. Neural Network Architectures/4. Recurrent neural network (RNN).srt 1.3 KB
~Get Your Files Here !/7. Summary Overview of Neural Networks/2. Advantages of Neural Networks.srt 1.2 KB
~Get Your Files Here !/3. Propagation of information in ANNs/1. Feed-forward and Back Propagation Networks.srt 1.2 KB
~Get Your Files Here !/8. Implementation of ANN in Python/5. Loading the dataset.srt 1.2 KB
~Get Your Files Here !/4. Neural Network Architectures/1. Single layer perceptron (SLP) model.srt 1.1 KB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/2. Components of convolutional neural networks.srt 1009 bytes
~Get Your Files Here !/10. Implementation of CNN in Python/1. Dataset.srt 988 bytes
~Get Your Files Here !/4. Neural Network Architectures/7. Boltzmann Machine Neural Network.srt 953 bytes
~Get Your Files Here !/4. Neural Network Architectures/2. Radial Basis Network (RBN).srt 939 bytes
~Get Your Files Here !/5. Activation Functions/5. Softmax function.srt 933 bytes
~Get Your Files Here !/1. Introduction to Deep Learning/3. Software and Frameworks.srt 911 bytes
~Get Your Files Here !/3. Propagation of information in ANNs/2. Backpropagation In Neural Networks.srt 878 bytes
~Get Your Files Here !/5. Activation Functions/7. Leaky Rectified Linear Unit function.srt 875 bytes
~Get Your Files Here !/8. Implementation of ANN in Python/3. Problem Statement.srt 834 bytes
~Get Your Files Here !/4. Neural Network Architectures/3. Multi-layer perceptron (MLP) Neural Network.srt 816 bytes
~Get Your Files Here !/6. Gradient Descent Algorithm/3. Gradient Decent vs Stochastic Gradient Decent.srt 803 bytes
~Get Your Files Here !/10. Implementation of CNN in Python/4. Accuracy of the model.srt 801 bytes
~Get Your Files Here !/7. Summary Overview of Neural Networks/3. Disadvantages of Neural Networks.srt 768 bytes
~Get Your Files Here !/5. Activation Functions/2. Important Terminologies.srt 749 bytes
~Get Your Files Here !/8. Implementation of ANN in Python/1. Introduction.srt 638 bytes
~Get Your Files Here !/Bonus Resources.txt 386 bytes
Get Bonus Downloads Here.url 182 bytes

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