WORLD.RICKRUBEN.COM
Biography
Contact
Facebook
Instagram
LinkedIn
pytorch
Mastering PyTorch: Tensors, Autograd & the Power of GPU Training
Deep Reinforcement Learning for Self-Evolving AI
RandomResizedCrop in PyTorch (6)
RandomResizedCrop in PyTorch (5)
Mastering GPU Memory Management With PyTorch and CUDA
AugMix in PyTorch (7)
AugMix in PyTorch (6)
RandAugment in PyTorch (4)
RandAugment in PyTorch (3)
RandAugment in PyTorch (2)
RandAugment in PyTorch (1)
ElasticTransform in PyTorch (4)
ElasticTransform in PyTorch (3)
ElasticTransform in PyTorch (2)
Let’s Build our own GPT Model from Scratch with PyTorch
Let’s Build our own GPT Model from Scratch with PyTorch
TensorFlow vs. PyTorch: Which Deep Learning Framework is Right for You?
Save model in PyTorch
Optimizing Your Neural Networks
Linear Regression in PyTorch
Activation functions in PyTorch (5)
Activation functions in PyTorch (4)
Activation functions in PyTorch (3)
Activation functions in PyTorch (2)
Activation functions in PyTorch (1)
Loss functions in PyTorch
RMSProp in PyTorch
Transformer in PyTorch
Overfitting vs Underfitting in PyTorch
select() in PyTorch
Set and get `dtype` in PyTorch
Set `requires_grad` and get `grad` in PyTorch
Dropout() in PyTorch
AvgPool3d() in PyTorch
AvgPool1d() in PyTorch
MaxPool2d() in PyTorch
MaxPool1d() in PyTorch
clamp() in PyTorch
expm1() and sigmoid() in PyTorch
log2() and log10() in PyTorch
L1Loss() and MSELoss() in PyTorch
SiLU() and Softplus() in PyTorch
GELU() and Mish() in PyTorch
Mish() and SiLU() in PyTorch
CELU() and GELU() in PyTorch
LeakyReLU() and PReLU() in PyTorch
The comparisons with `nan` and `inf` in PyTorch
Arithmetic operations with `nan` and `inf` in PyTorch
Create `nan` and `inf` in PyTorch
nan_to_num() in PyTorch
cumsum() and cumprod() in PyTorch
cummin() and cummax() in PyTorch
mode() in PyTorch
mean() and nanmean() in PyTorch
fmin() and fmax() in PyTorch
minimum() and maximum() in PyTorch
logical_xor() and logical_not() in PyTorch
logical_and() and logical_or() in PyTorch
sub() and mul() in PyTorch
add() in PyTorch
remainder() and fmod() in PyTorch
div() in PyTorch
float_power() in PyTorch
square() and pow() in PyTorch
Join These 6 Must-Join Discord Servers for ML Enthusiasts! 🚀
vstack() and dstack() in PyTorch
hstack() and column_stack() in PyTorch
cat() in PyTorch
stack() in PyTorch
logspace() in PyTorch
argmin() and argmax() in PyTorch
min() and max() in PyTorch
Set out with out argument functions PyTorch
Set keepdim with keepdim argument functions PyTorch
requires_grad=True with a tensor, backward() and retain_grad() in PyTorch
Set dtype with dtype argument functions and get it in PyTorch
Set `device` with `device` argument functions and get it in PyTorch
repeat_interleave() in PyTorch
tile() in PyTorch
The loss functions for Neural Network in PyTorch