New |h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 14h 34mn | 6 GB

What you'll learn

Complete Understanding of Deep Learning from the Scratch

Building the Artificial Neural Networks (ANNs) from the Scratch

Artificial Neural Networks (ANNs) for Binary Data Classification

Building Convolutional Neural Networks from the Scratch

Convolutional Neural Network for Image Classification

Convolutional Neural Network for Digit Recognition

Breast Cancer Detection with Convolutional Neural Networks

Convolutional Neural Networks for Predictive Analysis

Convolutional Neural Networks for Fraud Detection

Building the Recurrent Neural Networks (ANNs) from Scratch

LSTM and GRU

Review Classification with LSTM and GRU

LSTM and GRU for Image Classification

Prediction of Google Stock Price with RNN and LSTM

Transfer Learning

Natural Language Processing

Crash Course on Numpy (Data Analysis)

Crash Course on Pandas (Data Analysis)

Crash course on Matplotlib (Data Visualization)

Requirements

Python Programming Basics

Description

The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on...

With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework

TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance

In TensorFlow 2.0 you can start the coding with Zero Installation, whether you’re an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms

List of the Projects that you will work on,