Physics Informed Neural NetWorks (PINNs)

Files Included :

1 Introduction.mp4 (54.45 MB)
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2 Installing Anaconda.mp4 (123.45 MB)
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3 Course Structure.mp4 (170.74 MB)
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1 Numerical solution theory.mp4 (279.24 MB)
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2 Pre-processing.mp4 (364.34 MB)
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3 Solving the Equation.mp4 (234.75 MB)
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4 Post-processing.mp4 (108.58 MB)
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1 Pre-processing.mp4 (535 MB)
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2 Solving the Equation.mp4 (207.8 MB)
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3 Post-processing.mp4 (145.75 MB)
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1 PINNs Theory.mp4 (186.62 MB)
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2 Deep Learning Theory.mp4 (181.47 MB)
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3 Define the Neural Network.mp4 (239.74 MB)
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4 Initial Conditions and Boundary Conditions.mp4 (526.38 MB)
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5 Loss Function.mp4 (397.26 MB)
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6 Train the Model.mp4 (260.68 MB)
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7 Optimizer.mp4 (140.68 MB)
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8 Results Evaluation.mp4 (197 MB)
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1 Define the Neural Network.mp4 (203.54 MB)
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2 Initial Conditions and Boundary Conditions.mp4 (335.74 MB)
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3 Optimizer.mp4 (269.04 MB)
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4 Loss Function.mp4 (365.77 MB)
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5 Train the Model.mp4 (84.21 MB)
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6 Results Evaluation.mp4 (185.93 MB)
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1 Set Geometry, B C and I C.mp4 (550.81 MB)
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2 Define the Network and the PDE.mp4 (219.78 MB)
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3 Train the model.mp4 (127.56 MB)
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4 Result evaluation.mp4 (55.75 MB)
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1 Set Geometry.mp4 (277.48 MB)
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2 Set Boundary Conditions.mp4 (396.92 MB)
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3 Define the Network and the PDE.mp4 (414.38 MB)
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4 Train the model.mp4 (110.65 MB)
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5 Result evaluation.mp4 (215.81 MB)
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