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TensorFlow: Basic to Advanced Training

سرفصل های دوره

Flexible, Scalable, Open-Source Machine Learning Framework


1 - Introduction to Machine Learning and TensorFlow
  • 1 -What is Machine Learning
  • 2 -Introduction to TensorFlow
  • 3 -TensorFlow vs. Other Machine Learning frameworks
  • 4 -Installing TensorFlow
  • 5 -Setting up your Development Environment
  • 6 -Verifying the Installation

  • 2 - Basics of TensorFlow
  • 1 -Introduction to Tensors
  • 2 -Tensor Operations
  • 3 -Constants, Variables, and Placeholders
  • 4 -TensorFlow Computational Graph
  • 5 -Creating and Running a TensorFlow Session
  • 6 -Managing Graphs and Sessions
  • 7 -Building a Simple Feedforward Neural Network
  • 8 -Activation Functions
  • 9 -Loss Functions and Optimizers

  • 3 - Intermediate TensorFlow
  • 1 -Introduction to Keras API
  • 2 -Building Complex Models with Keras
  • 3 -Training and Evaluating Models
  • 4 -Introduction to CNNs(Convolutional Neural Networks)
  • 5 -Building and Training CNNs with TensorFlow
  • 6 -Transfer Learning with Pre-trained CNNs
  • 7 -Introduction to RNNs(Recurrent Neural Networks)
  • 8 -Building and Training RNNs with TensorFlow
  • 9 -Applications of RNNs Language Modeling, Time Series Prediction

  • 4 - Advanced TensorFlow
  • 1 -Saving and Loading Models
  • 2 -TensorFlow Serving for Model Deployment
  • 3 -TensorFlow Lite for Mobile and Embedded Devices
  • 5 -TensorFlows Distributed Execution Framework
  • 6 -Scaling TensorFlow with TensorFlow Serving and Kubernetes
  • 7 -Introduction to TFX(TensorFlow Extended)
  • 8 -Building End-to-End ML Pipelines with TFX
  • 9 -Model Validation, Transform, and Serving with TFX

  • 5 - Practical Applications and Projects
  • 1 -Image Classification
  • 2 -Natural Language Processing
  • 3 -Recommender Systems
  • 4 -Object Detection
  • 5 -Building a Sentiment Analysis Model
  • 6 -Creating an Image Recognition System
  • 7 -Developing a Time Series Prediction Model
  • 8 -Implementing a Chatbot

  • 6 - Further Learning and Resources
  • 1 -Generative Adversarial Networks (GANs)
  • 2 -Reinforcement Learning with TensorFlow
  • 3 -Quantum Machine Learning with TensorFlow Quantum
  • 4 -TensorFlow Documentation and Tutorials
  • 5 -Online Courses and Books
  • 6 -TensorFlow Community and Forums

  • 7 - Summary of Tensor Flow
  • 1 -Summary of Key Concepts
  • 2 -Next Steps in Your TensorFlow Journey
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