Download Udemy - Fundamentals in Neural Networks Torrent

Torrent Contents Size: 2.5 GB

Udemy - Fundamentals in Neural Networks

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001 Image data.mp4	MP4	19.3 MB
001 Image data_en.srt	SRT	8.2 KB
001 Linear Regression.mp4	MP4	38.3 MB
001 Linear Regression_en.srt	SRT	11.3 KB
001 Welcome Message_.mp4	MP4	35.4 MB
001 Welcome Message__en.srt	SRT	2.4 KB
001 Welcome to RNN.mp4	MP4	1.3 MB
001 Welcome to RNN_en.srt	SRT	1.1 KB
002 Course Outline.mp4	MP4	20.8 MB
002 Course Outline_en.srt	SRT	1.5 KB
002 Logistic Regression.mp4	MP4	28.2 MB
002 Logistic Regression_en.srt	SRT	9 KB
002 Tensor and Matrix.mp4	MP4	7.2 MB
002 Tensor and Matrix_en.srt	SRT	5.1 KB
002 Why Use RNN.mp4	MP4	16.5 MB
002 Why Use RNN_en.srt	SRT	9.5 KB
003 Convolutional Operation.mp4	MP4	15.3 MB
003 Convolutional Operation_en.srt	SRT	14.1 KB
003 Language Processing.mp4	MP4	29.9 MB
003 Language Processing_en.srt	SRT	13.2 KB
003 Purpose of Neural Networks.mp4	MP4	16.7 MB
003 Purpose of Neural Networks_en.srt	SRT	14.9 KB
004 Forward Propagation in RNN.mp4	MP4	33 MB
004 Forward Propagation in RNN_en.srt	SRT	14.6 KB
004 Forward Propagation.mp4	MP4	21.9 MB
004 Forward Propagation_en.srt	SRT	7.6 KB
004 Padding.mp4	MP4	26.5 MB
004 Padding_en.srt	SRT	9 KB
005 Backward Propagation Through Time.mp4	MP4	33.8 MB
005 Backward Propagation Through Time_en.srt	SRT	10.8 KB
005 Backward Propagation.mp4	MP4	30.3 MB
005 Backward Propagation_en.srt	SRT	9 KB
005 Stride.mp4	MP4	17 MB
005 Stride_en.srt	SRT	7 KB
006 Activation Function.mp4	MP4	33.7 MB
006 Activation Function_en.srt	SRT	15.4 KB
006 Convolution in 2D and 3D.mp4	MP4	18.1 MB
006 Convolution in 2D and 3D_en.srt	SRT	7.7 KB
006 Gated Recurrent Unit (GRU).mp4	MP4	13.3 MB
006 Gated Recurrent Unit (GRU)_en.srt	SRT	11.1 KB
007 Cross-entropy Loss Function.mp4	MP4	33.6 MB
007 Cross-entropy Loss Function_en.srt	SRT	11.4 KB
007 Long Short Term Memory (LSTM).mp4	MP4	34.1 MB
007 Long Short Term Memory (LSTM)_en.srt	SRT	10.7 KB
007 VGG16.mp4	MP4	50.3 MB
007 VGG16_en.srt	SRT	11.2 KB
008 Bi-directional RNN.mp4	MP4	17.6 MB
008 Bi-directional RNN_en.srt	SRT	7.2 KB
008 Gradient Descent.mp4	MP4	37.6 MB
008 Gradient Descent_en.srt	SRT	15.5 KB
008 Residual Network.mp4	MP4	25.6 MB
008 Residual Network_en.srt	SRT	11.2 KB
009 Lab 1 - Intro to Conv1D.mp4	MP4	90 MB
009 Lab 1 - Intro to Conv1D_en.srt	SRT	12.7 KB
009 Lab 1 - Intro to Python.mp4	MP4	475.7 MB
009 Lab 1 - Intro to Python_en.srt	SRT	54.4 KB
009 Lab 1 - RNN in Text Classification.mp4	MP4	131.8 MB
009 Lab 1 - RNN in Text Classification_en.srt	SRT	20.6 KB
010 Lab 2 - Intro to CNN.mp4	MP4	183.7 MB
010 Lab 2 - Intro to CNN_en.srt	SRT	30.8 KB
010 Lab 2 - Intro to Tensorflow.mp4	MP4	160.2 MB
010 Lab 2 - Intro to Tensorflow_en.srt	SRT	18 KB
010 Lab 2 - Sequence to Sequence Stock Candlestick Forecast.mp4	MP4	212.8 MB
010 Lab 2 - Sequence to Sequence Stock Candlestick Forecast_en.srt	SRT	34.7 KB
011 Lab 3 - Deep CNN.mp4	MP4	124.4 MB
011 Lab 3 - Deep CNN_en.srt	SRT	23.2 KB
011 Lab 3 - Intro to Neural Network.mp4	MP4	162.8 MB
011 Lab 3 - Intro to Neural Network_en.srt	SRT	24.7 KB
012 Lab 4 - Functional API.mp4	MP4	80.6 MB
012 Lab 4 - Functional API_en.srt	SRT	14.3 KB
012 Lab 4 - Transfer Learning.mp4	MP4	173.5 MB
012 Lab 4 - Transfer Learning_en.srt	SRT	25.2 KB
013 Lab 5 - Building Deeper and Wider Model.mp4	MP4	83.2 MB
013 Lab 5 - Building Deeper and Wider Model_en.srt	SRT	14 KB
37923168-sec1-lab1-intro-to-python.ipynb	IPYNB	59.4 KB
37923170-sec1-lab2-basic-tensors.ipynb	IPYNB	15.7 KB
37923174-sec1-lab3-intro-to-neural-networks.ipynb	IPYNB	38.3 KB
37923178-sec1-lab4-functional-api.ipynb	IPYNB	47.6 KB
37923180-sec1-lab5-wide-deep-model.ipynb	IPYNB	27.3 KB
37923184-sec2-lab1-intro-conv1D.ipynb	IPYNB	6.3 KB
37923190-sec2-lab2-cnn.ipynb	IPYNB	479.4 KB
37923192-sec2-lab3-deep-cnn.ipynb	IPYNB	94.2 KB
37923202-sec3-lab1-text-classification-rnn.ipynb	IPYNB	120.4 KB
37923752-sec2-lab4-transfer-learning.ipynb	IPYNB	2.2 MB
37923960-sec3-lab2-stock-market-candlestick-prediction.ipynb	IPYNB	262.7 KB
Bonus Resources.txt	TXT	307.2 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Fundamentals in Neural Networks

Torrent Contents Size: 2.5 GB

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