Complete Guide to TensorFlow for Deep Learning with Python

Complete Guide to TensorFlow for Deep Learning with Python

Description

IMPORTANT NOTE: THIS COURSE IS CURRENTLY IN EARLY BIRD RELEASE! STILL A LOT MORE MATERIAL TO COME!

Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

This direction will information you via how to use Google’s TensorFlow framework to create synthetic neural networks for deep finding out! This direction targets to come up with a very simple to perceive information to the complexities of Google’s TensorFlow framework in some way this is simple to perceive. Different lessons and tutorials have tended to steer clear of natural tensorflow and as a substitute use abstractions that give the consumer much less keep an eye on. Right here we provide a direction that in the end serves as an entire information to the usage of the TensorFlow framework as meant, whilst appearing you the most recent ways to be had in deep finding out!

This direction is designed to steadiness idea and sensible implementation, with entire jupyter pocket book guides of code and simple to reference slides and notes. We even have a number of workouts to take a look at your new abilities alongside the way in which!

This direction covers a number of subjects, together with

  • Neural Community Fundamentals
  • TensorFlow Fundamentals
  • Synthetic Neural Networks
  • Densely Hooked up Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • Reinforcement Learning
  • OpenAI Fitness center
  • and a lot more!

There are lots of Deep Learning Frameworks in the market, so why use TensorFlow?

TensorFlow is an open supply instrument library for numerical computation the usage of information go with the flow graphs. Nodes within the graphG constitute mathematical operations, whilst the graph edges constitute the multidimensional information arrays (tensors) communicated between them. The versatile structure lets in you to deploy computation to a number of CPUs or GPUs in a desktop, server, or cellular tool with a unmarried API. TensorFlow was once at the start advanced by means of researchers and engineers operating at the Google Mind Staff inside Google’s Gadget Intelligence analysis group for the needs of accomplishing system finding out and deep neural networks analysis, however the device is basic sufficient to be appropriate in all kinds of different domain names as neatly.

It’s utilized by main corporations in all places the arena, together with Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and naturally, Google!

Transform a system finding out guru these days! We’ll see you throughout the direction!

Who’s the objective target market?

  • Python scholars keen to be informed the most recent Deep Learning Ways with TensorFlow

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