diff --git a/Dockerfile b/Dockerfile
index 35bdec2..abfdf6e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,24 +4,24 @@
 # I've specified exact versions here. Users can modify at their own risk to get more recent versions of libraries.
 # Note that this base image includes Python 3.6.5 as part of Miniconda 4.5.1
 
-FROM jupyter/scipy-notebook:e7000ca1416d
+FROM jupyter/scipy-notebook:latest
 
-MAINTAINER Jon Krohn <jon@untapt.com>
+LABEL maintainer="Jon Krohn <jon@untapt.com>"
 
 USER $NB_USER
 
 # install the libraries
 RUN \
-	# Upgrade pip first
-	pip install --upgrade pip==19.0.3 && \
-	# install TensorFlow library
-	pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl && \
-	# install TFlearn, Keras, PyTorch, Torchvision, NLP libraries and RL environment
-	pip install tflearn==0.3.2 \
-				keras==2.2.0 \
-				nltk==3.3 \
-				gensim==3.4.0 \
-				gym==0.9.6 \
-				https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl \
-				torchvision==0.2.2.post3 \
-				h5py==2.8.0
+        # Upgrade pip first
+        pip install --upgrade pip && \
+        # install TensorFlow library
+        pip install tensorflow==2.17.0 && \
+        # install TFlearn, Keras, PyTorch, Torchvision, NLP libraries and RL environment
+        pip install tflearn==0.5.0 \
+                                keras==3.6.0 \
+                                nltk==3.9.1 \
+                                gensim==4.3.3 \
+                                gym==0.26.2 \
+                                torch==2.5.0 \
+                                torchvision==0.20.0 \
+                                h5py==3.10.0