PyTorch for Deep Learning - Full Course / Tutorial
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Date: 2022-03-14
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Comments and reviews: 9
Ashim
As someone who's familiar with programming terms, machine learning and deep learning(watching to see if I missed something while learning PyTorch), this has to be one of the most poorly explained videos on the internet. The notebooks are fairly well explained in themselves but I don't believe Akash did enough justice on the explanation part. The jovian commercials in middle were unnecessary, I skipped all of them. I hope you evolve more as a founder of Jovian dear Akash. At least you tried.
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As someone who's familiar with programming terms, machine learning and deep learning(watching to see if I missed something while learning PyTorch), this has to be one of the most poorly explained videos on the internet. The notebooks are fairly well explained in themselves but I don't believe Akash did enough justice on the explanation part. The jovian commercials in middle were unnecessary, I skipped all of them. I hope you evolve more as a founder of Jovian dear Akash. At least you tried.
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itech
I watched the MNIST section in linear modeling, and I also read the jupyter notebook from the link you provided. I don't think you applied softmax activation before the cross_entropy loss function. why is that ?
You took logits from nn.Linear(), then you did loss_fn(logits, labels).
I think you should do logits from nn.Linear(), then y_probs = F.softmax(logits, dim=1), then loss_fn(y_probs, labels). Am I correct ?
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I watched the MNIST section in linear modeling, and I also read the jupyter notebook from the link you provided. I don't think you applied softmax activation before the cross_entropy loss function. why is that ?
You took logits from nn.Linear(), then you did loss_fn(logits, labels).
I think you should do logits from nn.Linear(), then y_probs = F.softmax(logits, dim=1), then loss_fn(y_probs, labels). Am I correct ?
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Clarence
This is the best course on Neural Networks and PyTorch I have ever watched in my life, and I'm barely done with it. I could cry. Everything is explained in detail, amazing. I am completely new to Neural Networks and I feel somewhat comfortable already. Thank you!
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This is the best course on Neural Networks and PyTorch I have ever watched in my life, and I'm barely done with it. I could cry. Everything is explained in detail, amazing. I am completely new to Neural Networks and I feel somewhat comfortable already. Thank you!
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Vikram
While in Tensorflow if we just change the runtime type to GPU, the code is executed in GPU, But in Pytorch we must manually push the tensors and models to GPU..Am I right?
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While in Tensorflow if we just change the runtime type to GPU, the code is executed in GPU, But in Pytorch we must manually push the tensors and models to GPU..Am I right?
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Egg
This has to be most disappointing tutorial of all time. I don't even understand the part where he explained about the requires_grad. SHALLOW TUTOR
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This has to be most disappointing tutorial of all time. I don't even understand the part where he explained about the requires_grad. SHALLOW TUTOR
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aditya
when i used 10 as the number of epoch for resnet , i get
ValueError: Tried to step 1002 times. The specified number of total steps is 1000
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when i used 10 as the number of epoch for resnet , i get
ValueError: Tried to step 1002 times. The specified number of total steps is 1000
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ALMOUDI
In the logistic regression part the class MnistModel how come we are not calling the forward method and it is enough to put model(images)?
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In the logistic regression part the class MnistModel how come we are not calling the forward method and it is enough to put model(images)?
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Just
one thing...how can I remember all this? practising will take ages..but I want to master this skill in less time.. Any suggestions?
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one thing...how can I remember all this? practising will take ages..but I want to master this skill in less time.. Any suggestions?
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Yaho
9.8/10, fantastic course, I just wish you used dark mode instead so I could comfortably watch this way past my bedtime lol
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9.8/10, fantastic course, I just wish you used dark mode instead so I could comfortably watch this way past my bedtime lol
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