Would be cool if you ran though process of building a Neuron class step by step, to better understand how all parts integrate in code as we go before using more advanced libraries. So more step by step bottom up element by element building. I think it would be good way to practice learners intuition about all this. I found many of your videos highly educational. Great content!
Hello, could you please let me know why the following error ? RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x5 and 4x6) code: with torch.no_grad(): model.eval() correct = 0 total = 0
for batch_x, batch_y in test_loader: outputs = model(batch_x) predicted = torch.max(outputs, 1) total += batch_y.size(0) correct += (predicted == batch_y).sum().item() accuracy = correct / total print(f'Test accuracy:{accuracy:.2f}') class NeuralNetwork(nn.Module): def __init__(self, input_size, hidden_size, num_classes): super(NeuralNetwork, self).__init__() self.fc1 = nn.Linear(input_size, hidden_size) self.relu = nn.ReLU() self.fc2 = nn.Linear(hidden_size, num_classes)
def forward(self, x): out = self.fc1(x) out = self.relu(out) out = self.fc2(out) return out
What other playlists should I make? Also, If you think I deserve it, please consider giving this video a like. Subscribe for more content like this.
can you make some videos on implementing the transformer models in code?
one of the best videos ever about NN , congrats
Would be cool if you ran though process of building a Neuron class step by step, to better understand how all parts integrate in code as we go before using more advanced libraries. So more step by step bottom up element by element building. I think it would be good way to practice learners intuition about all this. I found many of your videos highly educational. Great content!
Impressive the clarity of layout and speech.
Thanks for the kind words.
its the algorithm to recommend me your video
your 101 series are super informative.
Love the videos, liked and subscribed, looking forward to the series.
Thanks so much! Definitely more to come every week
Thanks for such a nice explanation
Hello, could you please let me know why the following error ?
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x5 and 4x6)
code:
with torch.no_grad():
model.eval()
correct = 0
total = 0
for batch_x, batch_y in test_loader:
outputs = model(batch_x)
predicted = torch.max(outputs, 1)
total += batch_y.size(0)
correct += (predicted == batch_y).sum().item()
accuracy = correct / total
print(f'Test accuracy:{accuracy:.2f}')
class NeuralNetwork(nn.Module):
def __init__(self, input_size, hidden_size, num_classes):
super(NeuralNetwork, self).__init__()
self.fc1 = nn.Linear(input_size, hidden_size)
self.relu = nn.ReLU()
self.fc2 = nn.Linear(hidden_size, num_classes)
def forward(self, x):
out = self.fc1(x)
out = self.relu(out)
out = self.fc2(out)
return out
I think I use a PID type AI most
Quiz 1 option d
Quiz 2 option b
Quiz 3 option c
Antilock breaks.
Yep! This is a good one for cars
My meta Raybans
ChatGpt 3.5
aslo know as gpt 3.5
d
Quiz 1 option d
Quiz 2 option b
Quiz 3 option c
Ding ding ding! Correct ✅