Artificial Intelligence & Deep Learning With Python

1. Computer Vision
2. Text Analytics
3. Image Reading
4. Web Crawling

1. What is Computer Vision
2. Area of application of Computer Vision
3. Methodology used in Computer Vision

1. What is Text Analytics
2. Application of Text Analytics
3. Methodologies
4. Sentimental Analysis using Twitter

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1. What is Image Reading
2. Type of files and purpose
3. Area of Application
4. Methodology

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1. What is web scrapping?
2. Application and Methodology

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1. Introduction
2. Tensoflow Framework
3. Regression with Tensorflow
4. KNN

1. Introduction
2. Feature Extraction
3. Training and Testing the Model
4. Feed Forward Neural Network (FNN)
5. Convolutional neural network (CNN)
6. Recurrent Neural Network ( RNN)

1. Introduction
2. Functions and Layers
3. Single Layer Perceptron
4. Multi Layer Perceptrons
5. Training and Testing the Model

1. Introduction
2. Sequential Composition
3. Functional Composition
4. Neural Network Layers
5. Training and Testing the Model

1. Introduction
2. Keras as Tensorflow Backend
3. Sequential Model
4. Functional API
5. Keras Layers
6. Training and Testing the Model