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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
------------------------------
Lecture Playlist:
------------------------------
#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