Pluralsight Deep Learning FrameWorks and Model Implementation 2026

[mitsumi]

225.06 MB | 10min 18s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English



Files Included :
FileName :01-Course Introduction.mp4 | Size: (8.72 MB)
FileName :02-The Covertype Dataset and What Well Build.mp4 | Size: (8.71 MB)
FileName :03-What Frameworks Give You over Manual Implementation.mp4 | Size: (8.68 MB)
FileName :04-PyTorch vs TensorFlow.mp4 | Size: (6.22 MB)
FileName :05-Tapping into Hardware Acceleration.mp4 | Size: (14.46 MB)
FileName :01-Defining Networks with Sequential and Functional APIs.mp4 | Size: (16.43 MB)
FileName :02-Preparing Data the Right Way.mp4 | Size: (28.75 MB)
FileName :03-Inside the Training Loop.mp4 | Size: (30.14 MB)
FileName :04-Validation and Knowing When to Stop.mp4 | Size: (24.1 MB)
FileName :05-Checkpoints Logging and Experiment Tracking.mp4 | Size: (19.47 MB)
FileName :01-Squeezing Performance with Mixed-precision Training.mp4 | Size: (8.93 MB)
FileName :02-Structuring Code for Reuse and Clarity.mp4 | Size: (16.73 MB)
FileName :03-Saving and Loading Models the Right Way.mp4 | Size: (5.82 MB)
FileName :04-Versioning Experiments for Reproducibility.mp4 | Size: (9.4 MB)]
Screenshots

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