Unlocking PyTorch with Prompt-Engineering, Part 2

Unlocking PyTorch with Prompt-Engineering, Part 2

Michael Lively Michael Lively

Michael Lively

QuantumAI Founder - Innovator, Builder, Technology Evangelist | GenAI Researcher | Prompt Engineer | Technology Manager | QA Architect | DevOps Engineer | Cloud Architect | Data Scientist | PMI-ACP | MCT

发布日期: 2024年6月14日
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Mike Lively
Upcoming Events
Adoption
New Technology
New Devices
Ice Breaker
Part 2
Story-Pull-Push
PyTorch Documentation
TensorFlow Playground
Modeling a Neuron
Activation Function
Activation Curves
Matrix Representation
FFNN
FFNN Overview
3 Hidden Layers
FFNN Characteristics
FFNN Layer Code
FFNN Prompt
FFNN MNIST Class Distribution
FFNN Loss Curve
FFNN Test Run Results
CNN
CNN Featurization
Use Case - Classification
CNN Filter
Matrix Multiplicaiton
Stride and Filter Size Adjustments
More layers, more Features!
Pooling
Complete CNN from Image to Classification
Program Overview
CIFAR-10 Data Set
CNN Prompt
Loss Curves
Confusion Matrix
RNN
Reverse Engineering the Code to Prompt
RNN Character Prediction
MLOps
Major Players in MLOps
Life-Cycle of MLOps
Environments and Assets of MLOps
Details MLOps Workflow
Q&A













































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