ML For Nerds
Hi guys! Welcome to My KZitem Channel. Hope you liked a few of my videos and came here to subscribe.I am an Advanced Data Scientist with 9+ years of experience in Machine Learning and Deep Learning. I have started this channel for teaching beginners out of passion. Kindly pardon me if there is any delay in uploading the videos as I am a full-time employee. But I will try my best to upload regularly.
Along with youtube, I am regularly blogging on medium on advanced concepts in machine learning. Mostly I do paper reviews on medium. Kindly check it out if interested. - medium.com/@SambasivaraoK
Github Profile: github.com/MLForNerds
Connect with me on LinkedIn for any help - www.linkedin.com/in/sambasivarao-k-886828113/
Discord server for help and queries - discord.com/invite/nfZCszw7Rw
Thank you! Happy Learning!
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Batch Normalization - Part 3: Backpropagation & Inference
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Neural Networks From Scratch - Lec 24 - Regression Losses - Mean Square Logarithmic Error
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YOLO V1 - YOU ONLY LOOK ONCE || YOLO OBJECT DETECTION SERIES
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Neural Networks From Scratch - Lec 23 - Regression Losses - Smooth L1 Loss and Huber Loss Functions
- 5:56
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Remove the confusion once for all! Cost Function vs Loss Function vs Objective Function
- 36:51
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MNIST Classification: Hands-on Project in PyTorch 1.12
- 23:48
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MNIST Classification: Hands-on Project in Tensorflow 2.8
- 34:15
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Building a Neural Network from scratch: MNIST Project (No Tensorflow/Pytorch, Just Numpy)
- 5:41
- 2 жыл бұрын
Neural Networks From Scratch - Lec 19 - Approaching Regression Problem with Neural Networks
- 9:16
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