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Introduction to TensorFlow
  • Why is TensorFlow So Popular?

TensorFlow — Installation

Understanding Artificial Intelligence
  • Supervised Learning
  • Unsupervised Learning

Mathematical Foundations
  • Vector
  • Mathematical Computations

Machine Learning and Deep Learning
  • Machine Learning
  • Deep Learning
  • Difference between Machine Learning and Deep learning
  • Applications of Machine Learning and Deep Learning

TensorFlow — Basics
  • Tensor Data Structure
  • Various Dimensions of TensorFlow
  • Two dimensional Tensors
  • Tensor Handling and Manipulations

Convolutional Neural Networks
  • Convolutional Neural Networks
  • TensorFlow Implementation of CNN

Recurrent Neural Networks
  • Recurrent Neural Network Implementation with TensorFlow

TensorBoard Visualization
Word Embedding
  • Word2vec
Single Layer Perceptron
Linear Regression
  • Steps to design an algorithm for linear regression
TFLearn and its installation

CNN and RNN Difference
Keras
Distributed Computing
Exporting with TensorFlow
Multi-Layer Perceptron Learning
Hidden Layers of Perceptron

Optimizers in TensorFlow
XOR Implementation
Gradient Descent Optimization
Forming Graphs
Image Recognition using TensorFlow
Recommendations for Neural Network Training



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