Machine Learning with TensorFlow on Google Cloud

سرفصل های دوره

Build, train, and deploy ML models with TensorFlow: A hands-on journey through Google Cloud's powerful infrastructure

01 - Introduction

001 Introduction

002 Course resources.html

002 Course-Resources.zip

003 Google cloud - Google Colab vs Vertex AI

02 - Basics of Machine Learning

001 Linear regression basics

002 Logistic regression basics

03 - Perceptron - Introduction to neural network

001 Introduction to ANN

002 Single Neural Cell

003 Example of a Perceptron

004 What are Activation Functions

005 Sigmoid Activation Function

006 Linear regression case study

007 Linear regression case study - demonstration

008 Logistic regression case study

009 Logistic regression case study - demonstration

04 - Artificial neural network

001 Parallel vs Sequential Stacking

002 Important terms

003 How Neural Networks work

004 Finding the optima using Gradient Descent

005 Concept Behind Using Gradient Descent

006 Back Propagation in neural network

007 Types and Uses of Activation Functions

008 Multiclass Classification

009 Difference Between Gradient Descent and Stochastic Gradient Descent

010 Epochs

05 - Creating arctificial neural network on Google Colab

001 Information on Keras and Tensorflow

002 Dataset for classification

003 Normalization and Test-Train split

004 Different ways to create ANN

005 Building the Neural Network

006 Compiling and Training the Neural Network model

007 Evaluating performance and Predicting

008 Building Neural Network for Regression Problem

009 Complex ANN Architectures using Functional API

010 Understanding Checkpoints and Callbacks in Keras

06 - CNN - Introduction

001 CNN - Introduction

002 CNN - Implementation

003 Stride in CNN

004 Padding in CNN

005 Filters in CNN

006 Example of Filters and Feature maps in CNN

007 Channels in CNN

008 RGB Channels Illustration

009 Pooling layer in CNN

07 - CNN on Google Colab

001 CNN model - Preprocessing

002 CNN model - structure and Compile

003 CNN model - Training and results

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تولید کننده: Udemy