TensorFlow is an open source machine learning framework for all developers.
It is used for implementing machine learning and deep learning applications.
It combines the computational algebra of optimization techniques for easy calculation of many mathematical expressions.
TensorFlow is well-documented and includes plenty of machine learning libraries. It offers a few important functionalities and methods for the same.
Things to be included :
Introduction
Installation
Understanding Artificial Intelligence
Mathematical Foundations
Machine Learning and Deep Learning
TensorFlow - Basics
Convolutional Neural Networks
Recurrent Neural Networks
TensorBoard Visualization
Word Embedding
Single Layer Perceptron
Linear Regression
TFLearn And Its Installation
CNN And RNN Difference
Keras
Distributed Computing
Exporting
Multi-Layer Perceptron Learning
Hidden Layers of Perceptron
Optimizers
XOR Implementation
Gradient Descent Optimization
Forming Graphs
Image Recognition using TensorFlow
Recommendations for Neural Network Training
Last updated on 2020年03月01日
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