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125 - What are Generative Adversarial Networks (GAN)?
154 - Understanding the training and validation loss curves
181 - Multivariate time series forecasting using LSTM
17 - Reading images in Python
16 - Understanding digital images for Python processing
165 - An introduction to RNN and LSTM
180 - LSTM Autoencoder for anomaly detection
126 - Generative Adversarial Networks (GAN) using keras in python
133 - What are Loss functions in machine learning?
208 - Multiclass semantic segmentation using U-Net
Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists The dataset ...
125 - What are Generative Adversarial Networks (GAN)?
Generative adversarial networks (GANs) are deep learning architectures that use two neural networks (Generator and ...
154 - Understanding the training and validation loss curves
Loss curves contain a lot of information about training of an artificial neural network. This video goes through the interpretation of ...
181 - Multivariate time series forecasting using LSTM
For a dataset just search online for 'yahoo finance GE' or any other stock of your interest. Then select history and download csv for ...
17 - Reading images in Python
There are many ways to reading images in Python. This video explains image reading using popular libraries in Python.
16 - Understanding digital images for Python processing
Digital image processing in Python is mostly done via numpy array manipulation. This video provides a quick overview of digital ...
165 - An introduction to RNN and LSTM
RNN - Recurrent neural networks Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture ...
180 - LSTM Autoencoder for anomaly detection
LSTM encoder - decoder network for anomaly detection. Just look at the reconstruction error (MAE) of the autoencoder, define a ...
126 - Generative Adversarial Networks (GAN) using keras in python
Generative adversarial networks (GANs) are deep learning architectures that use two neural networks (Generator and ...
133 - What are Loss functions in machine learning?
Sreenivas Bhattiprolu
@SreenivasBhattiprolu
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