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PyTorch Most Common Techniques for Deep Learning | Data Science | Machine Learning
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🔥🐍 Checkout the MASSIVELY UPGRADED 2nd Edition of my Book (with 1300+ pages of Dense Python Knowledge) Covering 350+ Python 🐍 Core concepts
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👉 Chapters
@00:00:38 - Weight Decay in Neural Network with PyTorch
@00:17:45 - Label Smoothing Cross-Entropy-Loss from Scratch with PyTorch
@00:28:09 - Dropout Layer in PyTorch Neural Network
@00:32:58 - Get Total Number of Parameters in a PyTorch Neural Network Model
@00:38:25 - PyTorch Tensor vs Numpy array & detach-method of PyTorch
@00:44:33 - Cross Entropy Loss in PyTorch and its relation with Softmax
@00:59:04 - Lazy Linear Module in PyTorch
@01:04:58 - Input Shape of Tensor in Neural Network for PyTorch
@01:36:19 - Plotting Activation Functions | PyTorch | Sigmoid | ReLU | Tanh | Neural Network
@01:41:42 - Quantization in PyTorch | Mixed Precision Training
@02:02:09 - LeNet from Scratch - Shape Calculation @ each Layer
@02:21:03 - Learning Rate Scheduler | PyTorch | Implementing Custom Scheduler for CycleGAN
@02:47:21 - Hausdorff Distance used in Object Detection | Semantic Segmentation
@03:29:18 - Pixel Accuracy in Image Segmentation | Object Detection
@03:36:46 - Mean-IoU (Intersection over Union) in Object Detection | Semantic Segmentation
======================
You can find me here:
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Other Playlist you might like 👇
#machinelearning #deeplearning #datascience #finance #python #kaggle #tensorflow #pytorch #100daysofmlcode #pythonprogramming #100DaysOfMLCode #AI #trading #bitcoin
---------------------
👉 Chapters
@00:00:38 - Weight Decay in Neural Network with PyTorch
@00:17:45 - Label Smoothing Cross-Entropy-Loss from Scratch with PyTorch
@00:28:09 - Dropout Layer in PyTorch Neural Network
@00:32:58 - Get Total Number of Parameters in a PyTorch Neural Network Model
@00:38:25 - PyTorch Tensor vs Numpy array & detach-method of PyTorch
@00:44:33 - Cross Entropy Loss in PyTorch and its relation with Softmax
@00:59:04 - Lazy Linear Module in PyTorch
@01:04:58 - Input Shape of Tensor in Neural Network for PyTorch
@01:36:19 - Plotting Activation Functions | PyTorch | Sigmoid | ReLU | Tanh | Neural Network
@01:41:42 - Quantization in PyTorch | Mixed Precision Training
@02:02:09 - LeNet from Scratch - Shape Calculation @ each Layer
@02:21:03 - Learning Rate Scheduler | PyTorch | Implementing Custom Scheduler for CycleGAN
@02:47:21 - Hausdorff Distance used in Object Detection | Semantic Segmentation
@03:29:18 - Pixel Accuracy in Image Segmentation | Object Detection
@03:36:46 - Mean-IoU (Intersection over Union) in Object Detection | Semantic Segmentation
======================
You can find me here:
**********************************************
**********************************************
Other Playlist you might like 👇
#machinelearning #deeplearning #datascience #finance #python #kaggle #tensorflow #pytorch #100daysofmlcode #pythonprogramming #100DaysOfMLCode #AI #trading #bitcoin
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PyTorch Most Common Techniques for Deep Learning | Data Science | Machine Learning
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