TensorFlow 2 & Keras:Deep Learning & Artificial Intelligence Free Video Course

Deep Learning & Artificial Intelligence with TensorFlow 2 & Keras, Neural Networks, GANs,Auto encoders, Deep Learning A-Z

Artificial Intelligence

What you will learn in this Course:

  • Complete Understanding of TensorFlow 2 (Google’s Deep Learning Framework) from the Scratch
  • Keras API to quickly build models that run on TensorFlow 2
  • Learn How Neural Network works
  • Understand Backpropagation, Forward Propogation, Gradient Descent
  • Artificial Neural Networks (ANNs)
  • Convolutional Neural Networks (CNNs)
  • Perform Image Classification with Convolutional Neural Networks
  • Image Recognition
  • Recurrent Neural Networks (RNNs)
  • Transfer Learning
  • Create Generative Adversarial Networks (GANs) with TensorFlow
  • Auto encoders
  • Generative Deep Learning – Neural Style Transfer
  • Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib

Requirements for this Course:

  • Understanding of Python coding

Description:

Welcome to Deep Learning and Artificial Intelligence with Tensorflow 2 and Keras API Course.

This course incorporates how to function with tensorflow 2 and makes Deep Learning applications with tensorflow 2 and Keras.

This course guide you how to function with google colab, every one of the hands on work done in google colab.

Many Projects remembered for this course like MNIST Digits Classification, MNIST Fashion information characterization, Cat and Dog pictures Classification, Facial Expression Recognition, Leaf infection acknowledgment, Generate Images with DCGANs(Deep Convolutional Generative Adversarial Networks) with Keras, Denoising autoencoders with Keras, TensorFlow, and Deep Learning and so forth

Generative Deep Learning – Neural Style Transfer likewise remembered for this course.

For each talk reference notes and code record is appended in this course.

Tensorflow is an open source machine library, and is quite possibly the most broadly utilized systems for profound learning.

Google delivered another variant of their TensorFlow profound learning library (TensorFlow 2) that incorporated the Keras API straightforwardly and advanced this interface as the default or standard interface for profound learning improvement on the stage.

This course incorporates different themes –

  • Complete Understanding of TensorFlow 2.0 (Google’s Deep Learning Framework)
  • from the Scratch
  • Keras API to rapidly assemble models that sudden spike in demand for Tensorflow 2
  • Figure out How Neural Network functions
  • Get Back propagation, Forward Propogation, Gradient Descent
  • Counterfeit Neural Networks (ANNs)
  • Convolutional Neural Networks (CNNs)
  • Perform Image Classification with Convolutional Neural Networks
  • Picture Recognition
  • Intermittent Neural Networks (RNNs)
  • Move Learning
  • Make Generative Adversarial Networks (GANs) with TensorFlow
  • Auto encoders
  • Prologue to Natural Language Processing
  • Information Analysis with Numpy, Pandas and Data Visualization with Matplotlib

Who this course is for:

  • Anyone Passionate about Deep Learning and Artificial Intelligence
  • Python Developer curious about Deep Learning and Tensorflow

Course content:

  • Installing and Co lab
  • TensorFlow Introduction
  • Core concept of Neutral Network
  • Kears Implementation on CIFAR 10 and MNIST Datasets
  • CNN Neutral Network
  • RNN
  • Auto encoders
  • Transfer Learning
  • GAN
  • Generative Deep Learning
This image has an empty alt attribute; its file name is How-to-free-courses-on-telegram.jpg

Now! ! TensorFlow 2 & Keras:Deep Learning & Artificial Intelligence Free Video Course by clicking the below download button, If you have any questions so! comment now!..

Wait for 15 seconds For Download This File For Free

howtofree download online free tutorials 1

if you find any wrong activities so kindly read our DMCA policy also contact us. Thank you for understand us…

Leave a Reply

Your email address will not be published. Required fields are marked *