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49 видео
Introduction to Color in Marathi
Drawbacks Of One-hot Encoding | Introduction To Word Embeddings | Load And Use Pretrained Word2Vec
Linear Regression In Neural Network With Tensorflow 2.0
Installing Keras And Other Libraries In Anaconda In Specific Environment On Local Machine
Plotting Accuracy and Loss Graph for Trained Model using Matplotlib with History Callback
Training NN On CSV File Dataset In Google Colab Using Pandas Library To Extract And Process Dataset
Introduction To Long Short Term Memory (LSTM) | IMDB Sentiment Analysis Using LSTM In Tensorflow 2.0
Learning Rate | Effect of High and Very Small Learning Rate | Using Learning Rate in Tensorflow 2.0
Feature Maps Visualization Of CNN | Interpretation Of Output Of Conv2D And Maxpooling Layer
What Is Early Stopping | Using Early Stopping In Tensorflow2.0 | Reducing Overfitting / Variance
Tokenization On Text In TF 2.0 | Converting Text To A Sequence Of Number | TF text vectorization
Batch Normalization | Why To Use Batch Normalization | How To Use Batch Normalization In Tensorflow
Need of Learning Rate Decay | Using Learning Rate Decay In Tensorflow 2 with Callback and Scheduler
House Price Prediction System with Deep Neural Network on Boston Housing Dataset | (Tensorflow 2.0 )
Introduction To The Functional API | Build A Model With The Functional API In Tensorflow2.0
Confusion Matrix With Example | Precision, Recall, F1 Score and Support | Evaluate Model
Model Checkpoint in Tensorflow | Save Best Model using Checkpoint and Callbacks
Multiple Output Model In Tensorflow2.0 | The Functional API
Named Entity Recognition (NER) model using Deep Neural Network | TimeDistributed Layer
VGG16 Pretrained Model For Cat Dog Classification Using Feature Extraction And Fine Tunning Method
Machine Learning With Applications | Difference Between ML And Classical Programming With Example
Introduction to Conv1D | Sentiment Analysis using Convolutional Neural Network (CNN)
Creating Environments In Anaconda On Local Machine
Text Animation
People Card | Digital Visiting Card | Virtual Card | Get Search Enabled On Google By Your Own Name
Image Augmentation With Keras For Increasing Size Of Dataset | ImageDataGenerator TF Keras
Sentiment Analysis | Learning Embedding For Words Of Corpus Using Embedding Layer | RNN In Tensoflow
Pretrained Models | When And Why To Use Pre-trained Model | How To Use Pre-trained Model (Theory)
Introduction to Gated Recurrent Units | Sentiment Analysis using GRU Layer from Tensorflow2.0
Introduction To Convolutional Neural Network | Convolutional Neural Network Example | Deep Learning
IMDB Sentiment Analysis Using SimpleRNN Layer From Tensorflow | Working With Sequential Data (Text)
Save Model in JSON file | Save model in YAML file | Save weights and model in h5 file HDF5
Sentiment Analysis Using Deep Neural Network (SimpleRNN) With Word2Vec Pretrained Word Embeddings
Time Series Analysis Using Deep Neural Network | Stock Price Prediction System with LSTM
How to use google meet for Creating, Joining and Operating Meeting
Dropout Layer In Tensorflow2.0 | Variance / Overfitting Reduction | High Dev/Validation Accuracy
Accessing Google Drive In Colab | Working With Large File | Reading From File From Google Drive