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POLICY UPDATE: Senior leaders from the world’s leading research..
TensorFlow with Python
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Course Content
Introduction to TensorFlow and Deep Learning
Overview of TensorFlow
Basics of Deep Learning
TensorFlow Basics
Data Handling with TensorFlow and NumPy
Working with Tensors
Input Pipelines with tf.data
Working with Datasets and Image Processing
Building Machine Learning Models with TensorFlow
Linear and Logistic Regression
Implementing Neural Networks
Using Keras API for Model Building
Training and Optimizing Deep Learning Models
Loss Functions and Optimizers
Evaluating Model Performance
Hyperparameter Tuning
Convolutional Neural Networks (CNNs) for Computer Vision
Introduction to CNNs
Implementing CNNs with TensorFlow
Data Augmentation and Image Processing
Recurrent Neural Networks (RNNs) and NLP
Introduction to Sequence Models
Text Processing with TensorFlow
Implementing LSTMs for Time Series Forecasting
Generative Models and Advanced TensorFlow Applications
Generative Adversarial Networks (GANs)
Autoencoders for Anomaly Detection
Reinforcement Learning with TensorFlow
Model Deployment and Real-World Applications
Exporting and Saving Models
TensorFlow Lite for Mobile and Edge AI
Deploying Models on Cloud Platforms
Capstone Project, Assessment & Certification
Final Deep Learning Project
Practical Assignments & Case Studies
Certification Exam
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