Optimizing the Neural Network | PyTorch Video 9

[@Popat-Muhammad_72.Hur_Wale]

Thanks Sir for Continuing this Playlist ❤

[@teamup7249]

I am appreciating your hardwork and dedication for our education.... Thank you sir

[@1981Praveer]

Thanks! Such a wonderful way to explain difficult concepts in simple way

[@PopatMuhammad72HurWale-h2p]

Agentic AI & Gen AI pls🙏

[@anantmohan3158]

Nicely Curated..loved your way of explaining..!

[@tripchowdhry6124]

Exceptional Lecture 👍👌😇

[@priyanshushukla8773]

Thank you, sir, for explaining so well. I have one doubt: how do we decide the architecture of a neural network? For example, you used 2 hidden layers with 128 neurons in the first layer and 64 neurons in the second. How can we determine the number of neurons in each layer and the number of layers needed for a specific project or dataset?

[@OSMANI-WORLD]

Sir please make a playlist of machine learning concepts for Data science

[@kishorkumarnanda8561]

Sir how many more videos still left out for this pytorch playlist..

[@mudassir_fayaz]

wow, waiting for this

[@user-pu4iz8wb4d]

When will the next videos be released?

[@BharadwajOfficialnotes]

When to expect NLP sir?

[@princekhunt1]

Nice content please make fast and more

[@AbdullahDataVerse]

Hi Sir can you please make one video on fMRI dataset (nilearn fetch abide ) I want to know what is the best training technique for it and what kind of pre processing should perform

[@VMurNar12]

Hi sir, when would the next video on hyper parameter tuning come sir? Really waiting for that video

[@himanshuatri3232]

please bring next video Asap. can't wait.

[@himau2434]

Thank you sir

[@not_amanullah]

thanks ♥️

[@not_amanullah]

this is helpful 🖤🤗

[@yogeshdevkate4876]

sir please make a video on roadmap of full stack with AI

[@rishiminivlog660]

Sir, I am learning Python language by watching your Python series. Your way of explaining is very simple and effective. But Sir, I am a BA (Bachelor of Arts) student. Can I become a data scientist in the future because this doubt demotivate me?

[@DilshadAhmad-ut4yd]

It's tough to get job as a freshers in data science field

[@nr_132]

Sir pls comtinue mlops playlist also

[@sriramanandapu9199]

I thought test data accuracy will increase..

[@bp2807]

Sir please bring nlp and deep learning course🙏?

[@rahulvenkatesan8394]

Sir How to get these notes?

[@rose9466]

Sir please complete mlops

[@hiroki-z7t]

done 😎

[@NRA-Non_Residential_Australian]

Sir please mlops and your free course ls continue kr dijiye

[@siddharthtyagi1254]

sir please share the slide

[@adil288]

2nd

[@skbuds9959]

One important thing to mention is that when adding Batch normalization, the layer preceding it (Linear layer), we must specify bias = False because Batch normalization inherently includes learnable parameters for scale and shift. Adding both would be redundant. self.fc = nn.Linear(128, 64, bias=False) .. then Batch norm.

[@fyfg873]

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