Crash Course in Deep Learning with Google TensorFlow|Python

What you’ll learn

TensorFlow installation
Different TensorFlow Environments
Computation graphs
Artificial Neural Networks (ANN)
Convolutional Neural networks (CNN)
Regularization in Neural Networks – Dropout and Max Pooling
Keras & TfLearn
Building a custom Image Classifier on ANY Dataset
Extensive Assignments :Test your Understanding & Periodic Updates on the Subject
Transfer learning and how to use Google inception

Requirements

Knowledge of at least one programming language
Basic math and statistics

Description

This course lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team. You’ll see how TensorFlow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will learn how to use and reuse tensorflow effectively and apply on industry relevant problems.

Who this course is for:

Anyone who wants to study and build neural networks and deep learning using Google Tensorflow

Password/解压密码-0daydown

Download rapidgator
https://rg.to/file/119f0318eea9e4a250ff1128c77b1bda/Crash_Course_in_Deep_Learning_with_Google_TensorFlowPython.rar.html

Download nitroflare
http://nitroflare.com/view/1D06F2F8272F94A/Crash_Course_in_Deep_Learning_with_Google_TensorFlowPython.rar

Download 百度云

你是VIP 1个月(1 month)赞助会员，