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

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

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种子哈希：227f4034db6a3b4c3cd90b8d5946b1b520390678
文件大小：656.03M
已经下载：3415次
下载速度：极快
收录时间：2022-03-04
最近下载：2025-10-14

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文件列表

  • ~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 49.9 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.mp4 39.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 29.4 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 27.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 27.2 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 24.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 24.6 MB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 24.4 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.mp4 23.9 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 23.5 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 22.0 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 20.6 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.mp4 16.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 14.3 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.8 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.6 MB
  • ~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .mp4 12.2 MB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.mp4 12.1 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 12.0 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/13. Adding the next hidden layer.mp4 11.8 MB
  • ~Get Your Files Here !/10. Implementation of CNN in Python/2. Importing libraries.mp4 11.6 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/4. Pooling Layer.mp4 10.2 MB
  • ~Get Your Files Here !/6. Gradient Descent Algorithm/1. What is Gradient Decent.mp4 9.9 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/5. Fully connected Layer.mp4 9.8 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/5. Loading the dataset.mp4 9.6 MB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/4. Architecture of a neural network.mp4 9.6 MB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/1. Introduction.mp4 9.3 MB
  • ~Get Your Files Here !/10. Implementation of CNN in Python/4. Accuracy of the model.mp4 9.2 MB
  • ~Get Your Files Here !/5. Activation Functions/1. What is the Activation Function.mp4 9.0 MB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/2. Anatomy and function of neurons.mp4 7.6 MB
  • ~Get Your Files Here !/1. Introduction to Deep Learning/2. Why is Deep Learning Important.mp4 7.5 MB
  • ~Get Your Files Here !/5. Activation Functions/3. The sigmoid function.mp4 7.4 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/5. Long Short-Term Memory (LSTM) networks.mp4 6.9 MB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/4. Applications of Neural Networks.mp4 6.8 MB
  • ~Get Your Files Here !/5. Activation Functions/4. Hyperbolic tangent function.mp4 6.6 MB
  • ~Get Your Files Here !/10. Implementation of CNN in Python/1. Dataset.mp4 6.5 MB
  • ~Get Your Files Here !/6. Gradient Descent Algorithm/3. Gradient Decent vs Stochastic Gradient Decent.mp4 6.5 MB
  • ~Get Your Files Here !/6. Gradient Descent Algorithm/2. What is Stochastic Gradient Decent.mp4 6.3 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/4. Recurrent neural network (RNN).mp4 6.3 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/2. Components of convolutional neural networks.mp4 6.2 MB
  • ~Get Your Files Here !/3. Propagation of information in ANNs/1. Feed-forward and Back Propagation Networks.mp4 6.1 MB
  • ~Get Your Files Here !/3. Propagation of information in ANNs/2. Backpropagation In Neural Networks.mp4 5.7 MB
  • ~Get Your Files Here !/1. Introduction to Deep Learning/3. Software and Frameworks.mp4 5.7 MB
  • ~Get Your Files Here !/5. Activation Functions/6. Rectified Linear Unit (ReLU) function.mp4 5.6 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/6. Hopfield neural network.mp4 5.6 MB
  • ~Get Your Files Here !/3. Propagation of information in ANNs/3. Minimizing the cost function using backpropagation.mp4 5.2 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/1. Single layer perceptron (SLP) model.mp4 5.0 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/3. Multi-layer perceptron (MLP) Neural Network.mp4 4.9 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/1. Introduction.mp4 4.9 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/7. Boltzmann Machine Neural Network.mp4 4.9 MB
  • ~Get Your Files Here !/5. Activation Functions/2. Important Terminologies.mp4 4.9 MB
  • ~Get Your Files Here !/4. Neural Network Architectures/2. Radial Basis Network (RBN).mp4 4.6 MB
  • ~Get Your Files Here !/5. Activation Functions/5. Softmax function.mp4 4.4 MB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/2. Advantages of Neural Networks.mp4 4.4 MB
  • ~Get Your Files Here !/5. Activation Functions/7. Leaky Rectified Linear Unit function.mp4 4.2 MB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/3. Disadvantages of Neural Networks.mp4 3.6 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/3. Problem Statement.mp4 3.4 MB
  • ~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.srt 11.7 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.srt 6.9 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.srt 4.8 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.srt 4.6 kB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.srt 4.3 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.srt 4.1 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.srt 4.0 kB
  • ~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .srt 4.0 kB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.srt 3.9 kB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.srt 3.7 kB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.srt 3.6 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 3.3 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 2.4 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 2.2 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 2.0 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.srt 2.0 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 1.8 kB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.srt 1.7 kB
  • ~Get Your Files Here !/3. Propagation of information in ANNs/3. Minimizing the cost function using backpropagation.srt 1.7 kB
  • ~Get Your Files Here !/5. Activation Functions/6. Rectified Linear Unit (ReLU) function.srt 1.6 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 1.5 kB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/2. Anatomy and function of neurons.srt 1.5 kB
  • ~Get Your Files Here !/5. Activation Functions/4. Hyperbolic tangent function.srt 1.4 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 1.3 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 1.0 kB
  • ~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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