Added Changelog

Author: animikhaich

CHANGELOG.md

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+# Changelog
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+
+## Version 0.1.0 Beta - 2021-04-06
+### Added
+- **Frontend**:
+  - Streamlit Dashboard For Easy Training and Visualization
+  - Epoch Count and Batch Progress Bar
+  - Training and Validation Data Directory
+  - Model Backbone Selector
+  - Training Optimizer Selector
+  - Learning Rate Slider
+  - Batch Size Slider
+  - Max Number of Epochs Selector
+  - Input Image Shape Selector
+  - Training Precision Selector
+  - Training Button
+- **Data Loader**:
+  - Optimized Tf.Data implementation for maximum GPU usage
+  - Automatically handle errors such as corrupted images
+  - Built-in Dataset Verification
+  - Built-in Checks for if dataset is of a supported format
+  - Supports Auto Detect Sub-folders get class information
+  - Auto Generate Class Label Map
+  - Built in Image Augmentation
+  - Dataset Batch Visualization (With and Without Augment)
+- **Model Trainer**:
+  - Support for Multiple Model Selection (All the models available to Keras)
+  - Support for Loading Pre-Trained Model and Resume Training
+  - Support for Mixed Precision Training for both GPUs and TPU optimized workloads
+  - Support for Keras to Tensorflow SavedModel Converter
+  - Contains a method to run Inference on a batch of input images
+  - Dynamic Callbacks:
+    - Automatic Learning Rate Decay based on validation accuracy
+    - Automatic Training Stopping based on validation accuracy
+    - Tensorboard Logging for Metrics
+    - Autosave Best Model Weights at every epoch if validation accuracy increases
+    - Support for any custom callbacks in addition to the above
+  - Available Metrics (Training & Validation):
+    - Categorical Accuracy
+    - False Positives
+    - False Negatives
+    - Precision
+    - Recall
+    - Support for any custom metrics in addition to the above
+- **Supported Models**:
+  - MobileNetV2
+  - ResNet50V2
+  - Xception
+  - InceptionV3
+  - VGG16
+  - VGG19
+  - ResNet50
+  - ResNet101
+  - ResNet152
+  - ResNet101V2
+  - ResNet152V2
+  - InceptionResNetV2
+  - DenseNet121
+  - DenseNet169
+  - DenseNet201
+  - NASNetMobile
+  - NASNetLarge
+  - MobileNet
+- **Supported Optimizers**:
+  - SGD
+  - RMSprop
+  - Adam
+  - Adadelta
+  - Adagrad
+  - Adamax
+  - Nadam
+  - FTRL