Tensorflow-and-DeepLearning

This is a self created Repo to keep track of basics of Tensorflow. :))

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research.

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1. Basic Tensorflow Algorithms

2. Convolutional Neural Networks

3. Natural Language Processing

4. Sequence and Time Series Analysis

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1. Tensorflow Basic Algorithms

Data Based Models

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1. Hello world of Deep Learning with Neural Networks

2. Housing Price Prediction Based on trained values

Computer Vision Based

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1. Fashion-MNIST Dataset with Callbacks

2. MNIST Dataset for Number Classification

Into Convolutional Neural Network

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1. MNIST using CNNs

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3.Natural Language Processing

1. NLP Basics