WebToolTip com Udemy Python for Deep Learning Build Neural Networks in Python

WebToolTip com Udemy Python for Deep Learning Build Neural Networks in Python

Name	[ WebToolTip.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	823.5 MB
Total Files	124
Last Seen
Hash	1B9D826F935EF6FF69DB592DEA79FDCF76339726

/
Get Bonus Downloads Here.url	0.2 KB
/.../1 - Introduction to Deep Learning/
1 - What is a Deep Learning.en_US.vtt	3.5 KB
1 - What is a Deep Learning.mp4	12.2 MB
2 - Course Materials - ANN_Codes.ipynb	2.9 MB
2 - Course Materials - CNN_Codes.ipynb	5.3 KB
2 - Course Materials - Churn_Modelling.csv	684.9 KB
2 - Course Materials - Course Slides.pdf	4.5 MB
2 - Course Materials - mnist_test.csv	18.3 MB
2 - Course Materials - mnist_train.csv	109.6 MB
2 - Course Materials.html	0.1 KB
3 - Why is Deep Learning Important.en_US.vtt	1.9 KB
3 - Why is Deep Learning Important.mp4	7.5 MB
4 - Software and Frameworks.en_US.vtt	0.8 KB
4 - Software and Frameworks.mp4	5.6 MB
/.../10 - Implementation of CNN in Python/
1 - Dataset.en_US.vtt	0.9 KB
1 - Dataset.mp4	6.5 MB
2 - Importing libraries.en_US.vtt	2.2 KB
2 - Importing libraries.mp4	11.6 MB
3 - Building the CNN model.en_US.vtt	10.0 KB
3 - Building the CNN model.mp4	49.9 MB
4 - Accuracy of the model.en_US.vtt	0.7 KB
4 - Accuracy of the model.mp4	9.2 MB
/.../11 - BONUS Section - Don't Miss Out/
1 - BONUS Section - Don't Miss Out.html	0.9 KB
/.../2 - Artificial Neural Networks (ANN)/
1 - Introduction.en_US.vtt	1.3 KB
1 - Introduction.mp4	9.3 MB
2 - Anatomy and function of neurons.en_US.vtt	1.3 KB
2 - Anatomy and function of neurons.mp4	7.5 MB
3 - An introduction to the neural network.en_US.vtt	3.1 KB
3 - An introduction to the neural network.mp4	12.1 MB
4 - Architecture of a neural network.en_US.vtt	1.6 KB
4 - Architecture of a neural network.mp4	9.6 MB
/.../3 - Propagation of information in ANNs/
1 - Feed-forward and Back Propagation Networks.en_US.vtt	1.1 KB
1 - Feed-forward and Back Propagation Networks.mp4	6.1 MB
2 - Backpropagation In Neural Networks.en_US.vtt	0.8 KB
2 - Backpropagation In Neural Networks.mp4	5.7 MB
3 - Minimizing the cost function using backpropagation.en_US.vtt	1.4 KB
3 - Minimizing the cost function using backpropagation.mp4	5.2 MB
/.../4 - Neural Network Architectures/
1 - Single layer perceptron (SLP) model.en_US.vtt	1.0 KB
1 - Single layer perceptron (SLP) model.mp4	5.0 MB
2 - Radial Basis Network (RBN).en_US.vtt	0.8 KB
2 - Radial Basis Network (RBN).mp4	4.6 MB
3 - Multi-layer perceptron (MLP) Neural Network.en_US.vtt	0.7 KB
3 - Multi-layer perceptron (MLP) Neural Network.mp4	4.9 MB
4 - Recurrent neural network (RNN).en_US.vtt	1.2 KB
4 - Recurrent neural network (RNN).mp4	6.3 MB
5 - Long Short-Term Memory (LSTM) networks.en_US.vtt	1.3 KB
5 - Long Short-Term Memory (LSTM) networks.mp4	6.9 MB
6 - Hopfield neural network.en_US.vtt	1.1 KB
6 - Hopfield neural network.mp4	5.6 MB
7 - Boltzmann Machine Neural Network.en_US.vtt	0.8 KB
7 - Boltzmann Machine Neural Network.mp4	4.9 MB
/5 - Activation Functions/
1 - What is the Activation Function.en_US.vtt	1.7 KB
1 - What is the Activation Function.mp4	9.0 MB
2 - Important Terminologies.en_US.vtt	0.7 KB
2 - Important Terminologies.mp4	4.9 MB
3 - The sigmoid function.en_US.vtt	2.1 KB
3 - The sigmoid function.mp4	7.4 MB
4 - Hyperbolic tangent function.en_US.vtt	1.2 KB
4 - Hyperbolic tangent function.mp4	6.6 MB
5 - Softmax function.en_US.vtt	0.8 KB
5 - Softmax function.mp4	4.4 MB
6 - Rectified Linear Unit (ReLU) function.en_US.vtt	1.4 KB
6 - Rectified Linear Unit (ReLU) function.mp4	5.6 MB
7 - Leaky Rectified Linear Unit function.en_US.vtt	0.8 KB
7 - Leaky Rectified Linear Unit function.mp4	4.2 MB
/.../6 - Gradient Descent Algorithm/
1 - What is Gradient Decent.en_US.vtt	1.9 KB
1 - What is Gradient Decent.mp4	9.9 MB
2 - What is Stochastic Gradient Decent.en_US.vtt	1.8 KB
2 - What is Stochastic Gradient Decent.mp4	6.3 MB
3 - Gradient Decent vs Stochastic Gradient Decent.en_US.vtt	0.7 KB
3 - Gradient Decent vs Stochastic Gradient Decent.mp4	6.5 MB
/.../7 - Summary Overview of Neural Networks/
1 - How artificial neural networks work.en_US.vtt	3.4 KB
1 - How artificial neural networks work.mp4	24.4 MB
2 - Advantages of Neural Networks.en_US.vtt	1.1 KB
2 - Advantages of Neural Networks.mp4	4.4 MB
3 - Disadvantages of Neural Networks.en_US.vtt	0.7 KB
3 - Disadvantages of Neural Networks.mp4	3.6 MB
4 - Applications of Neural Networks.en_US.vtt	1.9 KB
4 - Applications of Neural Networks.mp4	6.7 MB
/.../8 - Implementation of ANN in Python/
1 - Introduction.en_US.vtt	0.6 KB
1 - Introduction.mp4	4.9 MB
10 - Feature scaling.en_US.vtt	3.5 KB
10 - Feature scaling.mp4	24.6 MB
11 - Building the Artificial Neural Network.en_US.vtt	1.7 KB
11 - Building the Artificial Neural Network.mp4	16.7 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	24.7 MB
13 - Adding the next hidden layer.en_US.vtt	1.1 KB
13 - Adding the next hidden layer.mp4	11.8 MB
14 - Adding the output layer.en_US.vtt	1.5 KB
14 - Adding the output layer.mp4	12.8 MB
15 - Compiling the artificial neural network.en_US.vtt	2.6 KB
15 - Compiling the artificial neural network.mp4	20.6 MB
16 - Fitting the ANN model to the training set.en_US.vtt	2.1 KB
16 - Fitting the ANN model to the training set.mp4	23.5 MB
17 - Predicting the test set results.en_US.vtt	4.2 KB
17 - Predicting the test set results.mp4	27.2 MB
2 - Exploring the dataset.en_US.vtt	1.2 KB
2 - Exploring the dataset.mp4	12.0 MB
3 - Problem Statement.en_US.vtt	0.7 KB
3 - Problem Statement.mp4	3.4 MB
4 - Data Pre-processing.en_US.vtt	3.6 KB
4 - Data Pre-processing.mp4	14.3 MB
5 - Loading the dataset.en_US.vtt	1.1 KB
5 - Loading the dataset.mp4	9.6 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	23.9 MB
7 - Label encoding using scikit-learn.en_US.vtt	4.0 KB
7 - Label encoding using scikit-learn.mp4	29.4 MB
8 - One-hot encoding using scikit-learn.en_US.vtt	5.9 KB
8 - One-hot encoding using scikit-learn.mp4	39.7 MB
9 - Training and Test Sets Splitting Data.en_US.vtt	3.1 KB
9 - Training and Test Sets Splitting Data.mp4	27.7 MB
/.../9 - Convolutional Neural Networks (CNN)/
1 - Introduction.en_US.vtt	3.8 KB
1 - Introduction.mp4	22.0 MB
2 - Components of convolutional neural networks.en_US.vtt	0.9 KB
2 - Components of convolutional neural networks.mp4	6.2 MB
3 - Convolution Layer.en_US.vtt	3.3 KB
3 - Convolution Layer.mp4	12.6 MB
4 - Pooling Layer.en_US.vtt	1.9 KB
4 - Pooling Layer.mp4	10.2 MB
5 - Fully connected Layer.en_US.vtt	1.7 KB
5 - Fully connected Layer.mp4	9.8 MB
~Get Your Files Here !/
Bonus Resources.txt	0.1 KB
Total files 124