Tensorflow-in-Practice-Specialization

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

My notes for coursera course AI TensorFlow in Practice Specialization.

deeplearning.ai on Coursera

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

This Repo includes my work in the Sequences and Time Series course of the Tensorflow in Practice Specialization by deeplearning.ai at Coursera

Contains notes, codes, anwers to quizzes and exercises of all the 4 courses of the TensorFlow in Practice specialization, by deeplearning.ai

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

This repository contains my full documentation of Coursera's Tensorflow in Practice Specialization taught by the instructor Laurence Moroney offered by deeplearning.ai.

This repository contains notebooks from the Coursera specialization TensorFlow in Practice.

[Coursera] TensorFlow in Practice Specialization by "deeplearning.ai"

Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data

TensorFlow in Practice Specialization

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Coursera Specialization TensorFlow in Practice

coursera

TensorFlow in Practice Specialization by deeplearning.ai

# [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning) **Master Deep Learning, and Break into AI** Instructor: [Andrew Ng](http://www.andrewng.org/) This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning). ## Goals - Learn the foundations of Deep Learning - Understand how to build neural networks - Learn how to lead successful machine learning projects - Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. - Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. - Practice all these ideas in Python and in TensorFlow.

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Assignments of course by coursera Tensorflow in practice Specilaization

Assignments for TensorFlow in Practice Specialization

Tensorflow In Practice Specialization

This repository contains solutions to the coding problems of Tensorflow in Practice Specialization from deeplearning.ai on Coursera delivered by Laurence Moroney and Andrew Ng

This repository contains my full documentation of the TensorFlow in Practice specialization.

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Coursera Course

Tensorflow Certification : With course on Coursera : TensorFlow in Practice Specialization

This repository contains the solution of all the weekly quizzes and programming assignments of all four courses in TensorFlow in Practice specialization offered by deeplearning.ai on Coursera.

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.