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Overview
Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & Tensor Flow 2 What you'll learn: Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning Build an end-to-end Image recognition project in Python Learn usage of Keras and Tensorflow libraries Use Artificial Neural Networks (ANN) to make predictions Use Pandas Data Frames to manipulate data and make statistical computations. You're looking for a complete Convolutional Neural Network (CNN) course that...
Syllabus
- Introduction
- Setting up Python and Jupyter Notebook
- Integrating ChatGPT with Python
- Single Cells - Perceptron and Sigmoid Neuron
- Neural Networks - Stacking cells to create network
- Important concepts: Common Interview questions
- Standard Model Parameters
- Tensorflow and Keras
- Python - Dataset for classification problem
- Python - Building and training the Model
- Python - Solving a Regression problem using ANN
- Complex ANN Architectures using Functional API
- Saving and Restoring Models
- Hyperparameter Tuning
- CNN - Basics
- Creating CNN model in Python
- Analyzing impact of Pooling layer
- Project : Creating CNN model from scratch
- Project : Data Augmentation for avoiding overfitting
- Transfer Learning : Basics
- Transfer Learning in Python
- Assignment
- Congratulations & about your certificate
Instructor
Start-Tech Academy
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