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Deep Learning in San Francisco CA Silicon Valley San Jose Oakland

Deep Learning in San Francisco CA Silicon Valley San Jose Oakland

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    Data Analytics
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Course Highlights

Mathematics for Deep Learning

 

 

 

Basic linear algebra concepts.

 

Probability and statistics fundamentals.

 

Understanding gradients and optimization.

 

 

 

Neural Networks Basics

 

 

 

Structure of artificial neural networks.

 

Activation functions.

 

Loss functions and optimization techniques.

 

 

 

Python for Deep Learning

 

 

 

Using Python for data science.

 

Working with NumPy and Pandas basics.

 

Data preprocessing techniques.

 

 

 

Deep Learning Frameworks

 

 

 

Introduction to TensorFlow and PyTorch.

 

Building and training models.

 

 

 

Training Deep Neural Networks

 

 

 

Forward and backward propagation.

 

Gradient descent and variants.

 

Overfitting and regularization.

 

 

 

Convolutional Neural Networks (CNN)

 

 

 

Understanding CNN architecture.

 

Image classification and object detection basics.

 

Working with image datasets.

 

 

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Deep Learning Training Focused on Hands-On AI Projects

Oakland-Based Deep Learning Program with Real-World Applications

Build and Train Neural Networks Using Popular Frameworks and Real Datasets

Get Career-Focused Placement Support to Jumpstart Your AI and Deep Learning Job

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