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Udemy Python for Deep Learning Build Neural Networks in Pytho

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freecoursewb

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Type:

Tutorials

Language:

English

Category:

Other

Size:

785.3 MB

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Oct. 24, 2025, 2:13 a.m.

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Files:

Get Bonus Downloads Here.url 180 bytes
1 - What is a Deep Learning.en_US.vtt 3.4 KB
1 - What is a Deep Learning.mp4 11.6 MB
2 - Course Materials - ANN_Codes.ipynb 2.7 MB
2 - Course Materials - CNN_Codes.ipynb 5.2 KB
2 - Course Materials - Churn_Modelling.csv 668.8 KB
2 - Course Materials - Course Slides.pdf 4.3 MB
2 - Course Materials - mnist_test.csv 17.5 MB
2 - Course Materials - mnist_train.csv 104.6 MB
2 - Course Materials.html 148 bytes
3 - Why is Deep Learning Important.en_US.vtt 1.8 KB
3 - Why is Deep Learning Important.mp4 7.1 MB
4 - Software and Frameworks.en_US.vtt 799 bytes
4 - Software and Frameworks.mp4 5.4 MB
1 - Dataset.en_US.vtt 850 bytes
1 - Dataset.mp4 6.2 MB
2 - Importing libraries.en_US.vtt 2.1 KB
2 - Importing libraries.mp4 11.1 MB
3 - Building the CNN model.en_US.vtt 9.7 KB
3 - Building the CNN model.mp4 47.6 MB
4 - Accuracy of the model.en_US.vtt 689 bytes
4 - Accuracy of the model.mp4 8.8 MB
1 - BONUS Section - Don't Miss Out.html 893 bytes
1 - Introduction.en_US.vtt 1.3 KB
1 - Introduction.mp4 8.9 MB
2 - Anatomy and function of neurons.en_US.vtt 1.3 KB
2 - Anatomy and function of neurons.mp4 7.2 MB
3 - An introduction to the neural network.en_US.vtt 3.1 KB
3 - An introduction to the neural network.mp4 11.5 MB
4 - Architecture of a neural network.en_US.vtt 1.5 KB
4 - Architecture of a neural network.mp4 9.1 MB
1 - Feed-forward and Back Propagation Networks.en_US.vtt 1.1 KB
1 - Feed-forward and Back Propagation Networks.mp4 5.8 MB
2 - Backpropagation In Neural Networks.en_US.vtt 779 bytes
2 - Backpropagation In Neural Networks.mp4 5.4 MB
3 - Minimizing the cost function using backpropagation.en_US.vtt 1.4 KB
3 - Minimizing the cost function using backpropagation.mp4 5.0 MB
1 - Single layer perceptron (SLP) model.en_US.vtt 1009 bytes
1 - Single layer perceptron (SLP) model.mp4 4.7 MB
2 - Radial Basis Network (RBN).en_US.vtt 827 bytes
2 - Radial Basis Network (RBN).mp4 4.4 MB
3 - Multi-layer perceptron (MLP) Neural Network.en_US.vtt 717 bytes
3 - Multi-layer perceptron (MLP) Neural Network.mp4 4.7 MB
4 - Recurrent neural network (RNN).en_US.vtt 1.1 KB
4 - Recurrent neural network (RNN).mp4 6.0 MB
5 - Long Short-Term Memory (LSTM) networks.en_US.vtt 1.3 KB
5 - Long Short-Term Memory (LSTM) networks.mp4 6.5 MB
6 - Hopfield neural network.en_US.vtt 1.1 KB
6 - Hopfield neural network.mp4 5.3 MB
7 - Boltzmann Machine Neural Network.en_US.vtt 841 bytes
7 - Boltzmann Machine Neural Network.mp4 4.7 MB
1 - What is the Activation Function.en_US.vtt 1.6 KB
1 - What is the Activation Function.mp4 8.6 MB
2 - Important Terminologies.en_US.vtt 674 bytes
2 - Important Terminologies.mp4 4.6 MB
3 - The sigmoid function.en_US.vtt 2.0 KB
3 - The sigmoid function.mp4 7.1 MB
4 - Hyperbolic tangent function.en_US.vtt 1.2 KB
4 - Hyperbolic tangent function.mp4 6.3 MB
5 - Softmax function.en_US.vtt 821 bytes
5 - Softmax function.mp4 4.2 MB
6 - Rectified Linear Unit (ReLU) function.en_US.vtt 1.4 KB
6 - Rectified Linear Unit (ReLU) function.mp4 5.3 MB
7 - Leaky Rectified Linear Unit function.en_US.vtt 776 bytes
7 - Leaky Rectified Linear Unit function.mp4 4.0 MB
1 - What is Gradient Decent.en_US.vtt 1.8 KB
1 - What is Gradient Decent.mp4 9.4 MB
2 - What is Stochastic Gradient Decent.en_US.vtt 1.8 KB
2 - What is Stochastic Gradient Decent.mp4 6.0 MB
3 - Gradient Decent vs Stochastic Gradient Decent.en_US.vtt 728 bytes
3 - Gradient Decent vs Stochastic Gradient Decent.mp4 6.2 MB
1 - How artificial neural networks work.en_US.vtt 3.4 KB
1 - How artificial neural networks work.mp4 23.2 MB
2 - Advantages of Neural Networks.en_US.vtt 1.1 KB
2 - Advantages of Neural Networks.mp4 4.2 MB
3 - Disadvantages of Neural Networks.en_US.vtt 693 bytes
3 - Disadvantages of Neural Networks.mp4 3.4 MB
4 - Applications of Neural Networks.en_US.vtt 1.8 KB
4 - Applications of Neural Networks.mp4 6.4 MB
1 - Introduction.en_US.vtt 575 bytes
1 - Introduction.mp4 4.7 MB
10 - Feature scaling.en_US.vtt 3.4 KB
10 - Feature scaling.mp4 23.4 MB
11 - Building the Artificial Neural Network.en_US.vtt 1.7 KB
11 - Building the Artificial Neural Network.mp4 15.9 MB
12 - Adding the input layer and the first hidden layer.en_US.vtt 2.8 KB
12 - Adding the input layer and the first hidden layer.mp4 23.5 MB
13 - Adding the next hidden layer.en_US.vtt 1.1 KB
13 - Adding the next hidden layer.mp4 11.2 MB
14 - Adding the output layer.en_US.vtt 1.4 KB
14 - Adding the output layer.mp4 12.2 MB
15 - Compiling the artificial neural network.en_US.vtt 2.6 KB
15 - Compiling the artificial neural network.mp4 19.6 MB
16 - Fitting the ANN model to the training set.en_US.vtt 2.0 KB
16 - Fitting the ANN model to the training set.mp4 22.4 MB
17 - Predicting the test set results.en_US.vtt 4.1 KB
17 - Predicting the test set results.mp4 25.9 MB
2 - Exploring the dataset.en_US.vtt 1.1 KB
2 - Exploring the dataset.mp4 11.5 MB
3 - Problem Statement.en_US.vtt 747 bytes
3 - Problem Statement.mp4 3.2 MB
4 - Data Pre-processing.en_US.vtt 3.5 KB
4 - Data Pre-processing.mp4 13.7 MB
5 - Loading the dataset.en_US.vtt 1.1 KB
5 - Loading the dataset.mp4 9.2 MB
6 - Splitting the dataset into independent and dependent variables.en_US.vtt 2.8 KB
6 - Splitting the dataset into independent and dependent variables.mp4 22.8 MB
7 - Label encoding using scikit-learn.en_US.vtt 3.9 KB
7 - Label encoding using scikit-learn.mp4 28.0 MB
8 - One-hot encoding using scikit-learn.en_US.vtt 5.8 KB
8 - One-hot encoding using scikit-learn.mp4 37.9 MB
9 - Training and Test Sets Splitting Data.en_US.vtt 3.1 KB
9 - Training and Test Sets Splitting Data.mp4 26.4 MB
1 - Introduction.en_US.vtt 3.8 KB
1 - Introduction.mp4 21.0 MB
2 - Components of convolutional neural networks.en_US.vtt 897 bytes
2 - Components of convolutional neural networks.mp4 5.9 MB
3 - Convolution Layer.en_US.vtt 3.2 KB
3 - Convolution Layer.mp4 12.0 MB
4 - Pooling Layer.en_US.vtt 1.8 KB
4 - Pooling Layer.mp4 9.7 MB
5 - Fully connected Layer.en_US.vtt 1.7 KB
5 - Fully connected Layer.mp4 9.4 MB
Bonus Resources.txt 70 bytes

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