Neural Networks with PyTorch

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We'll discuss the concept of Neural Networks.

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Lecture Playlist:
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#0: An overview of the lecture series

#1: Prerequisites to studying deep learning

#2: PyTorch Installation

#3.1: Tensors

#3.2: NumPy arrays (hands-on)

#3.3: PyTorch tensors (hands-on)

#4: Torchvision datasets (hands-on)

#5.1: Linear regression

#5.2: Linear regression (hands-on)

#6.1: Logistic regression

#6.2: Logistic regression (hands-on)

#7.1: Neural networks

#7.2: Neural networks (hands-on)

#:8 Ideas for further study
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